diff options
Diffstat (limited to 'site/datasets/unknown')
| -rw-r--r-- | site/datasets/unknown/appa_real.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/cuhk_campus_03.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/duke_mtmc.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/hipsterwars.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/ilids_mcts_vid.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/imdb_wiki.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/market_1501.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/mars.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/mot.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/peta.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/prid.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/vgg_faces.json | 2 | ||||
| -rw-r--r-- | site/datasets/unknown/viper.json | 2 |
13 files changed, 13 insertions, 13 deletions
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\ No newline at end of file +{"id": "633c851ebf625ad7abdda2324e9de093cf623141", "citations": [{"id": "588222a89edaa3bfda4fd2f9012d09adf0bc14f9", "title": "Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.03286.pdf"], "doi": []}, {"id": "8f89aed13cb3555b56fccd715753f9ea72f27f05", "title": "Attended End-to-end Architecture for Age Estimation from Facial Expression Videos.", "year": "2017", "pdf": ["https://arxiv.org/pdf/1711.08690.pdf"], "doi": []}, {"id": "7b92d1e53cc87f7a4256695de590098a2f30261e", "title": "From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and Expression Bias Analysis in Real Age Estimation", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575487"]}]}
\ No newline at end of file diff --git a/site/datasets/unknown/cuhk_campus_03.json b/site/datasets/unknown/cuhk_campus_03.json index 5c4b824e..044fb45f 100644 --- a/site/datasets/unknown/cuhk_campus_03.json +++ b/site/datasets/unknown/cuhk_campus_03.json @@ -1 +1 @@ -{"id": "44484d2866f222bbb9b6b0870890f9eea1ffb2d0", "citations": [{"id": "3a8023d206613c930cee8e9166fcbbfd743e6634", "title": "Enhancing Person Re-identification in a Self-Trained Subspace", "year": "2017", "pdf": ["https://arxiv.org/pdf/1704.06020.pdf"], "doi": []}, {"id": "d8a3dbeb3e262d873d5c01c2d9af7302fbc86fcb", "title": "Hessian Regularized Distance Metric Learning for People Re-Identification", "year": "2019", "pdf": [], "doi": ["https://doi.org/10.1007/s11063-019-10000-4"]}, {"id": "25bb4212af72d64ec20cac533f58f7af1472e057", "title": "Person Re-Identification by Camera Correlation Aware Feature Augmentation", "year": "2018", "pdf": ["https://arxiv.org/pdf/1703.08837.pdf"], "doi": []}, {"id": 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"2ec56b437ad9391ce5ed85b68561a4e58f21d976", "title": "Multi-target tracking on confidence maps: An application to people tracking", "year": "2013", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2013_CVIU_MultiTargetTracking_Poiesi_Mazzon_Cavallaro.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.08.008"]}, {"id": "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "title": "Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking", "year": "2013", "pdf": ["http://www.cs.tut.fi/~pertila/Pertila-2013-CSL.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.08.003"]}, {"id": "839a028f5928adca3b59c8bd1397d31a88ec285c", "title": "Automatic multiple zebrafish larvae tracking in unconstrained microscopic video conditions", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-17894-x", "https://www.ncbi.nlm.nih.gov/pubmed/29242568"]}, {"id": "bd4e64b1af4feff3e1e641523d99a642de23dda2", "title": "Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01366.pdf"], "doi": []}, {"id": "c9168495c99b37ce601bc778419c2667f34cb29b", "title": "Image Matching: An Application-oriented Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03917.pdf"], "doi": []}, {"id": "c81430d4a9171d52920e36cc85bbfdea8457487b", "title": "3D tracking targets via kinematic model weighted particle filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552992", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552992", "http://doi.org/10.1109/ICME.2016.7552992"]}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354115", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00011", "http://doi.org/10.1109/WACV.2018.00011"]}, {"id": "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "title": "Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.4481.pdf"], "doi": []}, {"id": "c4ec7ba2541258913425bacf925927becad83033", "title": "Improvement of Person Tracking Accuracy in Camera Network by Fusing WiFi and Visual Information", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1660", "http://www.informatica.si/index.php/informatica/article/download/1660/1022"]}, {"id": "5b74a57508069c719cff3c5410984be76f6b7785", "title": "Monotonicity and error type differentiability in performance measures for target detection and tracking in video", "year": "2012", "pdf": ["http://research.microsoft.com/pubs/160662/MSR-TR-2012-23.pdf", "http://www.researchgate.net/profile/Ido_Leichter/publication/256084992_Monotonicity_and_error_type_differentiability_in_performance_measures_for_target_detection_and_tracking_in_video/links/54e07f410cf2953c22b4d5f3.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2012-23.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6494576", "http://doi.org/10.1109/TPAMI.2013.70", "https://www.ncbi.nlm.nih.gov/pubmed/23568961", "https://www.wikidata.org/entity/Q45802783"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "14261ffecd904d9aff97d98c70e49ec1d870112f", "title": "Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535367", "http://doi.org/10.1109/IVS.2016.7535367"]}, {"id": "14f0283c703e450e5f17cbe94878896de865ce30", "title": "Robust Visual Tracking for Multiple Targets with Data Association and Track Management", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/14f0/283c703e450e5f17cbe94878896de865ce30.pdf"], "doi": []}, {"id": "3e7b5b07da3465103929b4347852d456c0f0ed58", "title": "Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05842.pdf"], "doi": []}, {"id": "8d9f793bbf6a36285308fdaf2886c9c377f40413", "title": "Optimizing process for tracking people in video-camera network. (Optimisation du suivi de personnes dans un r\u00e9seau de cam\u00e9ras)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8d9f/793bbf6a36285308fdaf2886c9c377f40413.pdf"], "doi": []}, {"id": "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "title": "Fast RGB-D people tracking for service robots", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbae/3eaf926aede9bec7ce2e28c35c1c50b1b43f.pdf"], "doi": []}, {"id": "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "title": "Exploring structure for long-term tracking of multiple objects in sports videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06454.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "f61416e740ab891824c27ebde50cd7c78002001c", "title": "Deceived bilateral filter for improving the automatic cell segmentation and tracking in the NF-kB pathway without nuclear staining", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f614/16e740ab891824c27ebde50cd7c78002001c.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "82ff25b6e7749e0210b2f8d5a0666f3499745154", "title": "Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/82ff/25b6e7749e0210b2f8d5a0666f3499745154.pdf"], "doi": []}, {"id": "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "title": "SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05878.pdf"], "doi": []}, {"id": "f869693e44828d09bffd1d79f872071aa09ffd57", "title": "Mean-Field methods for Structured Deep-Learning in Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f869/693e44828d09bffd1d79f872071aa09ffd57.pdf"], "doi": []}, {"id": "65341edca2f74ffad7d0aa56f20558f5305b307e", "title": "Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la d\u00e9tection d'obstacles bas\u00e9e sur des mod\u00e8les)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae2a/b8c61522e2ea48b2ae4695901e39b1bc93bb.pdf"], "doi": []}, {"id": "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "title": "Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996140"]}, {"id": "32c16cbe2e6dd90de95150051114124177725be3", "title": "Joint Detection and Online Multi-object Tracking", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Kieritz_Joint_Detection_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575355", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00195", "http://doi.org/10.1109/CVPRW.2018.00195"]}, {"id": "18babfe4c7230522527a068654eeea10b1a827fd", "title": "Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Kumar_Discriminative_Label_Propagation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751359", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.250", "http://doi.org/10.1109/ICCV.2013.250"]}, {"id": "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "title": "Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/PDL/file/main.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7442270", "http://doi.ieeecomputersociety.org/10.1109/ISM.2015.89", "http://doi.org/10.1109/ISM.2015.89"]}, {"id": "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "title": "Target Tracking with Kalman Filtering", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/ac7f/898ff5789914d423526c392ee61b979fdd8e.pdf"], "doi": []}, {"id": "8ec7194952ee9e7cf383b1a1b0aeccaed5b7daaa", "title": "Constrained multi-target tracking for team sports activities", "year": "2017", "pdf": ["https://ipsjcva.springeropen.com/track/pdf/10.1186/s41074-017-0038-z?site=ipsjcva.springeropen.com"], "doi": ["http://doi.org/10.1186/s41074-017-0038-z"]}, {"id": "57165586f65f25edd9d14f0173c4c35dab8c2e66", "title": "Aligning plot synopses to videos for story-based retrieval", "year": "2014", "pdf": ["http://www.cs.toronto.edu/~makarand/papers/IJMIR_plot-retrieval.pdf", "https://cvhci.anthropomatik.kit.edu/~mtapaswi/papers/IJMIR_plot-retrieval.pdf"], "doi": ["http://doi.org/10.1007/s13735-014-0065-9"]}, {"id": "e3cc912b9ca074e3d419c1dd289fd1b067fb61d5", "title": "Identifying multiple objects from their appearance in inaccurate detections", "year": "2015", "pdf": ["http://gavrila.net/cviu15_lda.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2015.03.012"]}, {"id": "a110602d15b1c98459071501483366a56cfb59d5", "title": "Online Video Text Detection with Markov Decision Process", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395179", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.20", "http://doi.org/10.1109/DAS.2018.20"]}, {"id": "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "title": "REACH - Realtime crowd tracking using a hybrid motion model", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/REACH/ICRA15Bera.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139261", "http://doi.org/10.1109/ICRA.2015.7139261"]}, {"id": "f9c580a24bd3f73190ccdd255208478e999d632d", "title": "DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7160148"]}, {"id": "3e08d000ba3dd382c16e4295435ef8264235ccbc", 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Monocular Videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281053"]}, {"id": "9fed3f4967bcdaebd1c321fee18fed865020a641", "title": "Objektsensitive Verfolgung und Klassifikation von Fu\u00dfg\u00e4ngern mit verteilten Multi-Sensor-Tr\u00e4gern", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9fed/3f4967bcdaebd1c321fee18fed865020a641.pdf"], "doi": []}, {"id": "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "title": "Recognizing Human Actions by Using Effective Codebooks and Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3d21/b7b4f48e614bc2f2b87eb110aa329b7d66d8.pdf"], "doi": []}, {"id": "3d2758e39308a64d2163cb638e684f58f868dbbc", "title": "Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities", "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr13.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr_2013_draft.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c395.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Possegger_Robust_Real-Time_Tracking_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619154", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.310", "http://doi.org/10.1109/CVPR.2013.310"]}, {"id": "40fc2803d3df9759a3853b040588a7d9be9542d2", "title": "Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/46741/46741.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295100", "http://doi.org/10.5220/0004674103140324"]}, {"id": "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "title": "On Detection, Data Association and Segmentation for Multi-target Tracking.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/aaae/fba1bd0a9a9ec6c66a822d11fb907a05625c.pdf"], "doi": []}, {"id": "3da12b99cd8040bb374eed160f8016b3fe492967", "title": "Multiperson Tracking by Online Learned Grouping Model With Nonlinear Motion Context", "year": "2016", "pdf": ["http://vislab.ucr.edu/PUBLICATIONS/pubs/Journal%20and%20Conference%20Papers/after10-1-1997/Journals/2015/Multi-person%20tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7362180", "http://doi.org/10.1109/TCSVT.2015.2511480"]}, {"id": "1d4f56a9bb093c52569917537a93c7671db28e6f", "title": "Real-time Tracking of Player Identities in Team Sports", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1d4f/56a9bb093c52569917537a93c7671db28e6f.pdf"], "doi": []}, {"id": "280eea0fa86c811b5422012788853514876854aa", "title": "Multiple Feature Fusion in the Dempster-Shafer Framework for Multi-object Tracking", "year": "2014", "pdf": ["http://www.polymtl.ca/litiv/doc/RiahietAlCRV2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6816859", "http://doi.ieeecomputersociety.org/10.1109/CRV.2014.49", "http://doi.org/10.1109/CRV.2014.49"]}, {"id": "0fcda01765c5a0b4cff99b5ed5139a6e1eddb689", "title": "Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking", "year": "2014", "pdf": ["http://infoscience.epfl.ch/record/200304/files/Heili_TIP_2014.pdf", "http://publications.idiap.ch/downloads/reports/2013/Heili_Idiap-RR-06-2014.pdf", "http://publications.idiap.ch/downloads/reports/2014/Heili_Idiap-RR-05-2014.pdf", "http://www.idiap.ch/~odobez/publications/HeiliLopezOdobez-CRF-Tracking-TIP-2014.pdf", "https://infoscience.epfl.ch/record/198851/files/Heili_Idiap-RR-05-2014.pdf", "https://infoscience.epfl.ch/record/198852/files/Heili_Idiap-RR-06-2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6815670", "http://doi.org/10.1109/TIP.2014.2324292", "https://www.ncbi.nlm.nih.gov/pubmed/24835228", 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(Simulation microscopique de foules : \u00e9valuation et d\u00e9veloppement d'algorithmes)", "year": "2016", "pdf": ["https://tel.archives-ouvertes.fr/tel-01420105/file/WOLINSKI_David.pdf"], "doi": ["https://tel.archives-ouvertes.fr/tel-01420105"]}, {"id": "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "title": "Simple online and realtime tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00763.pdf"], "doi": []}, {"id": "4b0893bf71e4e13529cefb286c78b166a9491552", "title": "Estimating orientation in tracking individuals of flying swarms", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001496.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471926", "http://doi.org/10.1109/ICASSP.2016.7471926"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": 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"title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "bfe69413c439327680cba369c155f1d0fffb401d", "title": "A Sampling Algorithm for Occlusion Robust Multi Target Detection", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5279719", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2009.79", "http://doi.org/10.1109/AVSS.2009.79"]}, {"id": "3039a08c66d45168ab871303407d7e3047529bf6", "title": "Audio-visual tracking of multiple moving speakers.", "year": "2016", "pdf": [], "doi": []}, {"id": "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "title": "A Unified Video Text Detection Method with Network Flow", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8269993", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.62", "http://doi.org/10.1109/ICDAR.2017.62"]}, {"id": "6475c1e95da0a3bd36786a32d00a893d85460e9e", "title": "Combined image- and world-space tracking in traffic scenes", "year": "2017", "pdf": ["https://arxiv.org/pdf/1809.07357.pdf"], "doi": []}, {"id": "486a0044b9c86c6f648f153f3d3f2e534342b754", "title": "Trajectories and Maneuvers of Surrounding Vehicles With Panoramic Camera Arrays", "year": "2016", "pdf": ["http://cvrr.ucsd.edu/publications/2016/Trajectories-LISA-tiv2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7725511", "http://doi.org/10.1109/TIV.2016.2622921"]}, {"id": "ae872749c88331a93f8078aebf3a8d7f6d9c48fa", "title": "Modeling local behavior for predicting social interactions towards human tracking", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-10.pdf", "http://www2.cs.uh.edu/~xuyan/docs/pr2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.10.019"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "title": "A Novel Multi-Detector Fusion Framework for Multi-Object Tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "title": "Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.08.006"]}, {"id": "e9c000b765ba5519050a61726e007c430cd5bfcb", "title": "Computer Vision \u2013 ECCV 2016 Workshops", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08434.pdf"], "doi": []}, {"id": "f668ada16a00836498445bd29037e4af21f75d7a", "title": "People Tracking on a Mobile Companion Robot", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-SMC-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722496", "http://doi.org/10.1109/SMC.2013.743"]}, {"id": "4938651efabea4c55acb9485bdb0858a82e9013f", "title": "Labeled multi-Bernoulli tracking for industrial mobile platform safety", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.05966.pdf"], "doi": []}, {"id": "f59ac278349083a50871822ea08172258030265a", "title": "Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials", "year": "2016", "pdf": ["https://cse.sc.edu/~songwang/document/tip16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7536127", "http://doi.org/10.1109/TIP.2016.2598640"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data 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"e5a67c425ef3947f2294964692c9c3efc8d0ccab", "title": "Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533007", "http://doi.org/10.1109/ICIP.2016.7533007"]}, {"id": "795dec6a13b47655145e635a0e7b1ec04021ad7c", "title": "Multi-target Tracking in Crowded Scenes", "year": "2011", "pdf": ["https://www.dirk-farin.net/publications/data/Farin2011a.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23123-0_41"]}, {"id": "e48dea5a5c4d74ec12b6817997bbef7975bde526", "title": "Planetary Monocular Simultaneous Localization and Mapping", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1002/rob.21608"]}, {"id": "44880df54e6caa3e7263db7a4d5cb77838f4698f", "title": "Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01394.pdf"], "doi": []}, {"id": "f86792e5f5214a7a79b80d90ab1957a9050100ea", "title": "Advances of Scene Text Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05219.pdf"], "doi": []}, {"id": "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "title": "Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bb4/5b2d3205e4631ccde488f1a8619c9625f481.pdf"], "doi": []}, {"id": "40d4fab85e2e1557e61d03b92429d64c6efba101", "title": "Detection-based multi-human tracking using a CRF model", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads/papers/2011/Heili_ICCV-VS_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Heili_VS2011_2011.pdf", "http://www.idiap.ch/~odobez/publications/HeiliChenOdobez-ICCV-VS-2011.pdf", "https://infoscience.epfl.ch/record/192447/files/Heili_ICCV-VS_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130451", "http://doi.org/10.1109/ICCVW.2011.6130451"]}, {"id": "291be6e3027575287c24f4363e4bf7a8b415d4c1", "title": "MSER-Based Real-Time Text Detection and Tracking", "year": "2014", "pdf": ["http://refbase.cvc.uab.es/files/GoK2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977248", "http://doi.org/10.1109/ICPR.2014.536"]}, {"id": "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "title": "GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory", "year": "2014", "pdf": ["http://personal.cityu.edu.hk/~meyfli/Publication/file/ZXL_TII14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678810", "http://doi.org/10.1109/TII.2013.2294156"]}, {"id": "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "title": "Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d7f7/eb0fbe3339d13f5a6a23df0fd27fdb357d48.pdf"], "doi": []}, {"id": "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "title": "Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2012.0500"]}, {"id": "300b819bbbe857f5fe89d0895f907073fc288719", "title": "Towards a Robust People Tracking Framework for Service Robots in Crowded , Dynamic Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/300b/819bbbe857f5fe89d0895f907073fc288719.pdf"], "doi": []}, {"id": "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "title": "External Cameras and a Mobile Robot for Enhanced Multi-person Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2efc/4eee3953f6b52e23989bbcc2598a91e18ba0.pdf"], "doi": []}, {"id": "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "title": "A Steerable multitouch Display for Surface Computing and its Evaluation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8aa5/f1b2639da73c2579ea9037a4ebf4579fdc4f.pdf"], "doi": []}, {"id": 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(Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "title": "Scene Aware Detection and Block Assignment Tracking in crowded scenes", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5BIVC%5DScene%20Aware%20Detection%20and%20Block%20Assignment%20Tracking%20in%20crowded%20scenes_FinalPublishCopy.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.02.008"]}, {"id": "2965d092ed72822432c547830fa557794ae7e27b", "title": "Improving representation and classification of image and video data for surveillance applications", "year": "2012", "pdf": [], "doi": []}, {"id": "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "title": "Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07920.pdf"], "doi": []}, {"id": "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "title": "Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/sanin_shadow_removal_icpr_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597618", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.43", "http://doi.org/10.1109/ICPR.2010.43"]}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "29a46aed79df53a1984ee755bed4c8ba2ae94040", "title": "Multiple Object Tracking Using K-Shortest Paths Optimization", "year": "2011", "pdf": 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"https://www.wikidata.org/entity/Q40218457"]}, {"id": "9662acb7fa75691ff0e7d1be87763af469419b8b", "title": "Multi Object Tracking Algorithm use in Video Surveillance Systems", "year": "2015", "pdf": [], "doi": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "29d291e71334392f6a04c53a4194d4ff29a460bf", "title": "Multiple human tracking in RGB-depth data: a survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d2/91e71334392f6a04c53a4194d4ff29a460bf.pdf"], "doi": []}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "fca56ec29f1d567f829be5f8477a81f1ce732f86", "title": "Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking", "year": "2017", "pdf": 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"2017", "pdf": ["http://www.scitepress.org/Papers/2017/60923/60923.pdf"], "doi": ["http://doi.org/10.5220/0006092301230131", "https://hal.laas.fr/hal-01763095/document"]}, {"id": "e66925e6aad8d89b8a140b70e495bcbde72c8011", "title": "DEVELOPMENT OF A VISUAL OBJECT TRACKING SYSTEM USING COMPRESSIVE SENSIG FRAMEWORK FOR MODELLING THE APPEARANCE DESARROLLO DE UN SISTEMA DE SEGUIMIENTO DE OBJETOS USANDO LA TEORI\u0301A DE \u201cCOMPRESSIVE SENSING\u201d PARA MODELAR LA APARIENCIA", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/e669/25e6aad8d89b8a140b70e495bcbde72c8011.pdf"], "doi": []}, {"id": "169ae32829821d5e22c4744a42223f78a88de3b9", "title": "Joint Monocular 3D Vehicle Detection and Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.10742.pdf"], "doi": []}, {"id": "55e28e4c174bb7ad2fd80be3c13a033bbd91ac7a", "title": "Detection and Tracking of General Movable Objects in Large 3 D Maps", "year": "2017", "pdf": [], "doi": []}, {"id": "632c114e12a6b88bd488ddfb1960d669f101ca3f", "title": "Multi-face tracking by extended bag-of-tracklets in egocentric photo-streams", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.04576.pdf"], "doi": []}, {"id": "c8e32484bbbc63908080284790edafc4b66008d2", "title": "Suivi par r\u00e9-identification dans un r\u00e9seau de cam\u00e9ras \u00e0 champs disjoints", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c8e3/2484bbbc63908080284790edafc4b66008d2.pdf"], "doi": []}, {"id": "3504852a821693857b30c47e08374b479d29ff8f", "title": "Multiple Target Tracking with Recursive-RANSAC and Machine Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3504/852a821693857b30c47e08374b479d29ff8f.pdf"], "doi": []}, {"id": "a3650762391efbaa743b8212ee408b09f66f0604", "title": "Vision Based Multiple Target Tracking Using Recursive RANSAC", "year": "2015", "pdf": [], "doi": []}, {"id": "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "title": "Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "title": "Qualitative Evaluation of Detection and Tracking Performance", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328006", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.57", "http://doi.org/10.1109/AVSS.2012.57"]}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "7b78af7951708f6059d374e2385a69ea367f62d2", "title": "The positioning accuracy based on the UWB technology for 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"http://www.m.cs.osakafu-u.ac.jp/publication_data/1352/icdar_competition_report.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6628859", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2013.221", "http://doi.org/10.1109/ICDAR.2013.221"]}, {"id": "b8b202fa955801da840afc9f523d439d14d87cc1", "title": "A Novel Approach for Monocular 3 D Object Tracking in Cluttered Environment 853 Monocular Video Sequences", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/b8b2/02fa955801da840afc9f523d439d14d87cc1.pdf"], "doi": []}, {"id": "0cb54b1d796bd24694b7a4fa1a35088d5c6bc313", "title": "An Online and Flexible Multi-object Tracking Framework Using Long Short-Term Memory", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w21/Wan_An_Online_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575325", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00169", 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"http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.84", "http://doi.org/10.1109/AVSS.2010.84"]}, {"id": "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "title": "Multiple Object Tracking Based on Robust Network Flow Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820465", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0074", "http://doi.org/10.1109/CIS.2016.0074"]}, {"id": "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "title": "Automatic generation of scene-specific person trackers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738079", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738079", "http://doi.org/10.1109/AVSS.2016.7738079"]}, {"id": "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "title": "3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "98a8ce914de8846105ee1ee56c0b201d0b0357ac", "title": "End-to-End Scene Text Recognition in Videos Based on Multi Frame Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270138", "http://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.207", "http://doi.org/10.1109/ICDAR.2017.207"]}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "ce6d4264e63b195563f8b958c129b03cb2c989f5", "title": "MOTS: Multi-Object Tracking and Segmentation", "year": "2019", "pdf": ["https://arxiv.org/pdf/1902.03604.pdf"], "doi": []}, {"id": "76a8d37bab548faef5e7ee1653be8985ed0713ad", "title": "No Blind Spots: Full-Surround Multi-Object Tracking for Autonomous Vehicles using Cameras & LiDARs", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.08755.pdf"], "doi": []}, {"id": "1e335a6d3cdfe8f53540766b1495c45f72d8fb2f", "title": "Multi-Target Tracking and 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"http://ieeexplore.ieee.org/document/6460958/"]}, {"id": "1e82a8965f08e8d38b16f39412e6e3c456f6f22e", "title": "Social force model aided robust particle PHD filter for multiple human tracking", "year": "2016", "pdf": ["http://www.mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0004398.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7472508", "http://doi.org/10.1109/ICASSP.2016.7472508"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.01890.pdf"], "doi": []}, {"id": "fcf0963095ff472132fe46d0cc543aff2735a0bb", "title": "A Framework to Combine Multi-Object Video Segmentation and Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227387", "http://doi.org/10.1109/DICTA.2017.8227387"]}, {"id": 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"Online pedestrian tracking with multi-stage re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078505", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078505", "http://doi.org/10.1109/AVSS.2017.8078505"]}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "0f29710e54f714eeea5233628afc68c680d881bb", "title": "Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning", "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/fiaschi_14_tracking.pdf", 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Finding a similarity measure for trajectory prediction evaluation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8317825", "http://doi.org/10.1109/ITSC.2017.8317825"]}, {"id": "e87b1ae1d9af4182e7c5b62c9bd01b15979dd59d", "title": "Addressing ambiguity in multi-target tracking by hierarchical strategy", "year": "2017", "pdf": ["https://arxiv.org/pdf/1705.10716.pdf"], "doi": []}, {"id": "5db25e8c1e45bcdb64b743f81dbdc69f32c70004", "title": "Shadow Detection: A Survey and Comparative Evaluation of Recent Methods", "year": "2012", "pdf": ["https://arxiv.org/pdf/1304.1233.pdf"], "doi": []}, {"id": "37c4541037b67e8f4c538b285efe80aa251a49b9", "title": "Tracking as a Whole: Multi-Target Tracking by Modeling Group Behavior With Sequential Detection", "year": "2017", "pdf": ["http://crabwq.github.io/pdf/2017%20Tracking%20as%20A%20Whole%20Multi-Target%20Tracking%20by%20Modeling%20Group%20Behavior%20with%20Sequential%20Detection.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7896601", "http://doi.org/10.1109/TITS.2017.2686871"]}, {"id": "e0659abe7b377b146bcd8ac5040e620bd7f4ede4", "title": "Generative object detection and tracking in 3D range data", "year": "2012", "pdf": ["http://europa.informatik.uni-freiburg.de/files/kaestner12generative.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224585", "http://doi.org/10.1109/ICRA.2012.6224585"]}, {"id": "f0325a190d5d3e265d21e6a11342583e52b338f6", "title": "ESTHER: Joint Camera Self-Calibration and Automatic Radial Distortion Correction From Tracking of Walking Humans", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8605504"]}, {"id": "5da14895692fad7d1f403279faa743a657fa7ac4", "title": "Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8233230"]}, {"id": "2ec56b437ad9391ce5ed85b68561a4e58f21d976", "title": "Multi-target tracking on confidence maps: An application to people tracking", "year": "2013", "pdf": ["http://www.eecs.qmul.ac.uk/~andrea/papers/2013_CVIU_MultiTargetTracking_Poiesi_Mazzon_Cavallaro.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.08.008"]}, {"id": "b15e703ce4f01f4f0d52e835e2c907d5e8361bba", "title": "Online blind speech separation using multiple acoustic speaker tracking and time-frequency masking", "year": "2013", "pdf": ["http://www.cs.tut.fi/~pertila/Pertila-2013-CSL.pdf"], "doi": ["http://doi.org/10.1016/j.csl.2012.08.003"]}, {"id": "839a028f5928adca3b59c8bd1397d31a88ec285c", "title": "Automatic multiple zebrafish larvae tracking in unconstrained microscopic video conditions", "year": "2017", "pdf": [], "doi": ["https://doi.org/10.1038/s41598-017-17894-x", "https://www.ncbi.nlm.nih.gov/pubmed/29242568"]}, {"id": "bd4e64b1af4feff3e1e641523d99a642de23dda2", "title": "Weakly Supervised Convolutional LSTM Approach for Tool Tracking in Laparoscopic Videos", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.01366.pdf"], "doi": []}, {"id": "c9168495c99b37ce601bc778419c2667f34cb29b", "title": "Image Matching: An Application-oriented Benchmark", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.03917.pdf"], "doi": []}, {"id": "c81430d4a9171d52920e36cc85bbfdea8457487b", "title": "3D tracking targets via kinematic model weighted particle filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7552992", "http://doi.ieeecomputersociety.org/10.1109/ICME.2016.7552992", "http://doi.org/10.1109/ICME.2016.7552992"]}, {"id": "4d90d7834ae25ee6176c096d5d6608555766c0b1", "title": "Face and Body Association for Video-Based Face Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8354115", "http://doi.ieeecomputersociety.org/10.1109/WACV.2018.00011", "http://doi.org/10.1109/WACV.2018.00011"]}, {"id": "1ea2a53a6cb9c08312276a2f0646935d5fab5ed3", "title": "Real-time Crowd Tracking using Parameter Optimized Mixture of Motion Models", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.4481.pdf"], "doi": []}, {"id": "c4ec7ba2541258913425bacf925927becad83033", "title": "Improvement of Person Tracking Accuracy in Camera Network by Fusing WiFi and Visual Information", "year": "2017", "pdf": [], "doi": ["http://www.informatica.si/index.php/informatica/article/view/1660", "http://www.informatica.si/index.php/informatica/article/download/1660/1022"]}, {"id": "5b74a57508069c719cff3c5410984be76f6b7785", "title": "Monotonicity and error type differentiability in performance measures for target detection and tracking in video", "year": "2012", "pdf": ["http://research.microsoft.com/pubs/160662/MSR-TR-2012-23.pdf", "http://www.researchgate.net/profile/Ido_Leichter/publication/256084992_Monotonicity_and_error_type_differentiability_in_performance_measures_for_target_detection_and_tracking_in_video/links/54e07f410cf2953c22b4d5f3.pdf", "https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2012-23.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6494576", "http://doi.org/10.1109/TPAMI.2013.70", "https://www.ncbi.nlm.nih.gov/pubmed/23568961", "https://www.wikidata.org/entity/Q45802783"]}, {"id": "6512f42fd70b42300ea3f318e860d270cd6d3b0a", "title": "Joint multi-person detection and tracking from overlapping cameras", "year": "2014", "pdf": ["http://gavrila.net/cviu14.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2014.06.003"]}, {"id": "14261ffecd904d9aff97d98c70e49ec1d870112f", "title": "Online learning based multiple pedestrians tracking in thermal imagery for safe driving at night", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7535367", "http://doi.org/10.1109/IVS.2016.7535367"]}, {"id": "14f0283c703e450e5f17cbe94878896de865ce30", "title": "Robust Visual Tracking for Multiple Targets with Data Association and Track Management", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/14f0/283c703e450e5f17cbe94878896de865ce30.pdf"], "doi": []}, {"id": "3e7b5b07da3465103929b4347852d456c0f0ed58", "title": "Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey", "year": "2017", "pdf": ["https://arxiv.org/pdf/1611.05842.pdf"], "doi": []}, {"id": "8d9f793bbf6a36285308fdaf2886c9c377f40413", "title": "Optimizing process for tracking people in video-camera network. (Optimisation du suivi de personnes dans un r\u00e9seau de cam\u00e9ras)", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/8d9f/793bbf6a36285308fdaf2886c9c377f40413.pdf"], "doi": []}, {"id": "cbae3eaf926aede9bec7ce2e28c35c1c50b1b43f", "title": "Fast RGB-D people tracking for service robots", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cbae/3eaf926aede9bec7ce2e28c35c1c50b1b43f.pdf"], "doi": []}, {"id": "2e713b922c760b7cc8d3e7d12088e9806f2e9a8d", "title": "Exploring structure for long-term tracking of multiple objects in sports videos", "year": "2017", "pdf": ["https://arxiv.org/pdf/1612.06454.pdf"], "doi": []}, {"id": "391ad25a3c5c7c504d46bbd21cb13464dfe052e6", "title": "Deep Multi-View Correspondence for Identity-Aware Multi-Target Tracking", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227423", "http://doi.org/10.1109/DICTA.2017.8227423"]}, {"id": "f61416e740ab891824c27ebde50cd7c78002001c", "title": "Deceived bilateral filter for improving the automatic cell segmentation and tracking in the NF-kB pathway without nuclear staining", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/f614/16e740ab891824c27ebde50cd7c78002001c.pdf"], "doi": []}, {"id": "54d78ad2ed30557474fabd1d3a9e5db1c76fbeaa", "title": "Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.08565.pdf"], "doi": []}, {"id": "82ff25b6e7749e0210b2f8d5a0666f3499745154", "title": "Adaptive Multiple Kernels with SIR-Particle Filter Based Multi Human Tracking for Occluded Environment", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/82ff/25b6e7749e0210b2f8d5a0666f3499745154.pdf"], "doi": []}, {"id": "7730fd15ff14dd84d71f965bfeab8e4d790d91d8", "title": "SpaRTA - Tracking across occlusions via global partitioning of 3D clouds of points", "year": "2018", "pdf": ["https://arxiv.org/pdf/1802.05878.pdf"], "doi": []}, {"id": "f869693e44828d09bffd1d79f872071aa09ffd57", "title": "Mean-Field methods for Structured Deep-Learning in Computer Vision", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/f869/693e44828d09bffd1d79f872071aa09ffd57.pdf"], "doi": []}, {"id": "65341edca2f74ffad7d0aa56f20558f5305b307e", "title": "Co-design of architectures and algorithms for mobile robot localization and model-based detection of obstacles. (Co-conception d'architectures et d'algorithmes pour la localisation de robots mobiles et la d\u00e9tection d'obstacles bas\u00e9e sur des mod\u00e8les)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ae2a/b8c61522e2ea48b2ae4695901e39b1bc93bb.pdf"], "doi": []}, {"id": "c1f2887cf7ceb5c34138cec1ee6a7fa4869e58aa", "title": "Multiple human tracking using 3D ellipsoidal model and SIR-Particle Filter technique", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6996140"]}, {"id": "32c16cbe2e6dd90de95150051114124177725be3", "title": "Joint Detection and Online Multi-object Tracking", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w29/Kieritz_Joint_Detection_and_CVPR_2018_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575355", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00195", "http://doi.org/10.1109/CVPRW.2018.00195"]}, {"id": "18babfe4c7230522527a068654eeea10b1a827fd", "title": "Discriminative Label Propagation for Multi-object Tracking with Sporadic Appearance Features", "year": "2013", "pdf": ["http://www.cv-foundation.org/openaccess/content_iccv_2013/papers/Kumar_Discriminative_Label_Propagation_2013_ICCV_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6751359", "http://doi.ieeecomputersociety.org/10.1109/ICCV.2013.250", "http://doi.org/10.1109/ICCV.2013.250"]}, {"id": "ef8da5d714c269f9573dabb2da5ef5b33c13a0b0", "title": "Interactive Crowd Content Generation and Analysis Using Trajectory-Level Behavior Learning", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/PDL/file/main.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7442270", "http://doi.ieeecomputersociety.org/10.1109/ISM.2015.89", "http://doi.org/10.1109/ISM.2015.89"]}, {"id": "dc7f3eb7d93676cc989d3ef8339804ade9d0c53e", "title": "Target Tracking with Kalman Filtering", "year": "2016", "pdf": 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["http://doi.org/10.1016/j.cviu.2015.03.012"]}, {"id": "a110602d15b1c98459071501483366a56cfb59d5", "title": "Online Video Text Detection with Markov Decision Process", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8395179", "http://doi.ieeecomputersociety.org/10.1109/DAS.2018.20", "http://doi.org/10.1109/DAS.2018.20"]}, {"id": "aa5ed6ee0b2fd53df5cab952aa368f8c4908ffeb", "title": "REACH - Realtime crowd tracking using a hybrid motion model", "year": "2015", "pdf": ["http://gamma.cs.unc.edu/REACH/ICRA15Bera.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7139261", "http://doi.org/10.1109/ICRA.2015.7139261"]}, {"id": "f9c580a24bd3f73190ccdd255208478e999d632d", "title": "DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7160148"]}, {"id": "3e08d000ba3dd382c16e4295435ef8264235ccbc", 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Monocular Videos", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7281053"]}, {"id": "9fed3f4967bcdaebd1c321fee18fed865020a641", "title": "Objektsensitive Verfolgung und Klassifikation von Fu\u00dfg\u00e4ngern mit verteilten Multi-Sensor-Tr\u00e4gern", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/9fed/3f4967bcdaebd1c321fee18fed865020a641.pdf"], "doi": []}, {"id": "3d21b7b4f48e614bc2f2b87eb110aa329b7d66d8", "title": "Recognizing Human Actions by Using Effective Codebooks and Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/3d21/b7b4f48e614bc2f2b87eb110aa329b7d66d8.pdf"], "doi": []}, {"id": "3d2758e39308a64d2163cb638e684f58f868dbbc", "title": "Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities", "year": "2013", "pdf": ["http://lrs.icg.tugraz.at/pubs/possegger_cvpr13.pdf", "http://lrs.icg.tugraz.at/pubs/possegger_cvpr_2013_draft.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989c395.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Possegger_Robust_Real-Time_Tracking_2013_CVPR_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619154", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.310", "http://doi.org/10.1109/CVPR.2013.310"]}, {"id": "40fc2803d3df9759a3853b040588a7d9be9542d2", "title": "Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through Interacting Multiple Models", "year": "2014", "pdf": ["http://www.scitepress.org/Papers/2014/46741/46741.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7295100", "http://doi.org/10.5220/0004674103140324"]}, {"id": "aaaefba1bd0a9a9ec6c66a822d11fb907a05625c", "title": "On Detection, Data Association and Segmentation for Multi-target Tracking.", "year": "2018", "pdf": 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"https://www.wikidata.org/entity/Q50617362"]}, {"id": "788a4db5d51b26880ea1d092c121804592b0ef5e", "title": "Track-to-track fusion for multi-target tracking using asynchronous and delayed data", "year": "2017", "pdf": [], "doi": []}, {"id": "128ea529f079431220ea63229c934f36287910f9", "title": "Robust Vehicle Surveillance in Night Traffic Videos Using an Azimuthally Blur Technique", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6957584", "http://doi.org/10.1109/TVT.2014.2371067"]}, {"id": "baa6be848d52268b71c2486e43940dc64412543c", "title": "Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227468", "http://doi.org/10.1109/DICTA.2017.8227468"]}, {"id": "4163947e9f6538df8e4171b1e5f378d2728099df", "title": "Microscopic crowd simulation : evaluation and development of algorithms. (Simulation microscopique de foules : \u00e9valuation et d\u00e9veloppement d'algorithmes)", "year": "2016", "pdf": ["https://tel.archives-ouvertes.fr/tel-01420105/file/WOLINSKI_David.pdf"], "doi": ["https://tel.archives-ouvertes.fr/tel-01420105"]}, {"id": "a6e7513371a49cd7b8b30bb444e8fc448c5326cb", "title": "Simple online and realtime tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1602.00763.pdf"], "doi": []}, {"id": "4b0893bf71e4e13529cefb286c78b166a9491552", "title": "Estimating orientation in tracking individuals of flying swarms", "year": "2016", "pdf": ["http://mirlab.org/conference_papers/International_Conference/ICASSP%202016/pdfs/0001496.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7471926", "http://doi.org/10.1109/ICASSP.2016.7471926"]}, {"id": "ccde43d13203bf29ccf351e8c9a79ee4b0b36142", "title": "Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras", "year": "2014", "pdf": 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"title": "A survey of approaches and trends in person re-identification", "year": "2014", "pdf": ["http://qil.uh.edu/qil/websitecontent/pdf/2015-9.pdf", "http://romisatriawahono.net/lecture/rm/survey/computer%20vision/Gala%20-%20Person%20Reidentification%20-%202014.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2014.02.001"]}, {"id": "bfe69413c439327680cba369c155f1d0fffb401d", "title": "A Sampling Algorithm for Occlusion Robust Multi Target Detection", "year": "2009", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5279719", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2009.79", "http://doi.org/10.1109/AVSS.2009.79"]}, {"id": "3039a08c66d45168ab871303407d7e3047529bf6", "title": "Audio-visual tracking of multiple moving speakers.", "year": "2016", "pdf": [], "doi": []}, {"id": "9fd7d9e982fc2c0710a25f4df568d35262deda8c", "title": "A Unified Video Text Detection Method with Network Flow", "year": "2017", "pdf": [], "doi": 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"http://www2.cs.uh.edu/~xuyan/docs/pr2014.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2013.10.019"]}, {"id": "c9cc0eb2fb91ebd075e46622d92c832bd3dd1417", "title": "Multiple Object Tracking via Feature Pyramid Siamese Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8587153", "http://doi.org/10.1109/access.2018.2889442"]}, {"id": "3d3f9c4e14f5a1cbac756045dd22d2fcd3056169", "title": "A Novel Multi-Detector Fusion Framework for Multi-Object Tracking", "year": "2017", "pdf": [], "doi": []}, {"id": "aa01a6124ca44e88b1e6819ec434d7a26efd956a", "title": "Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.cviu.2016.08.006"]}, {"id": "e9c000b765ba5519050a61726e007c430cd5bfcb", "title": "Computer Vision \u2013 ECCV 2016 Workshops", "year": "2016", "pdf": ["https://arxiv.org/pdf/1608.08434.pdf"], "doi": []}, {"id": "f668ada16a00836498445bd29037e4af21f75d7a", "title": "People Tracking on a Mobile Companion Robot", "year": "2013", "pdf": ["http://www.tu-ilmenau.de/fileadmin/media/neurob/publications/conferences_int/2013/Volkhardt-SMC-2013b.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6722496", "http://doi.org/10.1109/SMC.2013.743"]}, {"id": "4938651efabea4c55acb9485bdb0858a82e9013f", "title": "Labeled multi-Bernoulli tracking for industrial mobile platform safety", "year": "2017", "pdf": ["https://arxiv.org/pdf/1604.05966.pdf"], "doi": []}, {"id": "f59ac278349083a50871822ea08172258030265a", "title": "Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials", "year": "2016", "pdf": ["https://cse.sc.edu/~songwang/document/tip16.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7536127", "http://doi.org/10.1109/TIP.2016.2598640"]}, {"id": "b040302c9e6dfc1501a70bed4636fe83730a26db", "title": "Improving Multi-frame Data 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"e5a67c425ef3947f2294964692c9c3efc8d0ccab", "title": "Robust online multiple object tracking based on the confidence-based relative motion network and correlation filter", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7533007", "http://doi.org/10.1109/ICIP.2016.7533007"]}, {"id": "795dec6a13b47655145e635a0e7b1ec04021ad7c", "title": "Multi-target Tracking in Crowded Scenes", "year": "2011", "pdf": ["https://www.dirk-farin.net/publications/data/Farin2011a.pdf"], "doi": ["https://doi.org/10.1007/978-3-642-23123-0_41"]}, {"id": "e48dea5a5c4d74ec12b6817997bbef7975bde526", "title": "Planetary Monocular Simultaneous Localization and Mapping", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1002/rob.21608"]}, {"id": "44880df54e6caa3e7263db7a4d5cb77838f4698f", "title": "Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.01394.pdf"], "doi": []}, {"id": "f86792e5f5214a7a79b80d90ab1957a9050100ea", "title": "Advances of Scene Text Datasets", "year": "2018", "pdf": ["https://arxiv.org/pdf/1812.05219.pdf"], "doi": []}, {"id": "c610db0ee2d111452f70ce4854e48ab9d5c2b1ab", "title": "Fast and Robust Multi-people Tracking from RGB-D Data for a Mobile Robot", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/2bb4/5b2d3205e4631ccde488f1a8619c9625f481.pdf"], "doi": []}, {"id": "40d4fab85e2e1557e61d03b92429d64c6efba101", "title": "Detection-based multi-human tracking using a CRF model", "year": "2011", "pdf": ["http://publications.idiap.ch/downloads/papers/2011/Heili_ICCV-VS_2011.pdf", "http://publications.idiap.ch/downloads/papers/2011/Heili_VS2011_2011.pdf", "http://www.idiap.ch/~odobez/publications/HeiliChenOdobez-ICCV-VS-2011.pdf", "https://infoscience.epfl.ch/record/192447/files/Heili_ICCV-VS_2011.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6130451", "http://doi.org/10.1109/ICCVW.2011.6130451"]}, {"id": "291be6e3027575287c24f4363e4bf7a8b415d4c1", "title": "MSER-Based Real-Time Text Detection and Tracking", "year": "2014", "pdf": ["http://refbase.cvc.uab.es/files/GoK2014.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977248", "http://doi.org/10.1109/ICPR.2014.536"]}, {"id": "6b78f2ece211c2d1eb6699e1e057b7beb3e0b4a7", "title": "GM-PHD-Based Multi-Target Visual Tracking Using Entropy Distribution and Game Theory", "year": "2014", "pdf": ["http://personal.cityu.edu.hk/~meyfli/Publication/file/ZXL_TII14.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6678810", "http://doi.org/10.1109/TII.2013.2294156"]}, {"id": "d7f7eb0fbe3339d13f5a6a23df0fd27fdb357d48", "title": "Intention-Aware Multi-Human Tracking for Human-Robot Interaction via Particle Filtering over Sets", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/d7f7/eb0fbe3339d13f5a6a23df0fd27fdb357d48.pdf"], "doi": []}, {"id": "c9df1be91e16b3fb566e54fb0bc4ae58cce9935e", "title": "Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections", "year": "2013", "pdf": [], "doi": ["http://doi.org/10.1049/iet-ipr.2012.0500"]}, {"id": "300b819bbbe857f5fe89d0895f907073fc288719", "title": "Towards a Robust People Tracking Framework for Service Robots in Crowded , Dynamic Environments", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/300b/819bbbe857f5fe89d0895f907073fc288719.pdf"], "doi": []}, {"id": "2efc4eee3953f6b52e23989bbcc2598a91e18ba0", "title": "External Cameras and a Mobile Robot for Enhanced Multi-person Tracking", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/2efc/4eee3953f6b52e23989bbcc2598a91e18ba0.pdf"], "doi": []}, {"id": "8aa5f1b2639da73c2579ea9037a4ebf4579fdc4f", "title": "A Steerable multitouch Display for Surface Computing and its Evaluation", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/8aa5/f1b2639da73c2579ea9037a4ebf4579fdc4f.pdf"], "doi": []}, {"id": 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(Representing to follow: Exploitation of parsimonious representations for multi-object tracking)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/af8c/d04bbe4902123d7042985159a6a5da9d9fb9.pdf"], "doi": []}, {"id": "5d15b9a200f1eea522846cfeacbec77a7b59a8b7", "title": "Scene Aware Detection and Block Assignment Tracking in crowded scenes", "year": "2012", "pdf": ["http://media.cs.tsinghua.edu.cn/~ahz/papers/%5B2012%5D%5BIVC%5DScene%20Aware%20Detection%20and%20Block%20Assignment%20Tracking%20in%20crowded%20scenes_FinalPublishCopy.pdf"], "doi": ["http://doi.org/10.1016/j.imavis.2012.02.008"]}, {"id": "2965d092ed72822432c547830fa557794ae7e27b", "title": "Improving representation and classification of image and video data for surveillance applications", "year": "2012", "pdf": [], "doi": []}, {"id": "6b55153f8d87bfd0dfb2f24eb2aa61d40e314cae", "title": "Track, Then Decide: Category-Agnostic Vision-Based Multi-Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.07920.pdf"], "doi": []}, {"id": "2a8812f286669c4bc0eca462c6cbd90a4a9fb5a8", "title": "Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios", "year": "2010", "pdf": ["http://conradsanderson.id.au/pdfs/sanin_shadow_removal_icpr_2010.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597618", "http://doi.ieeecomputersociety.org/10.1109/ICPR.2010.43", "http://doi.org/10.1109/ICPR.2010.43"]}, {"id": "35e730f7967155b9394f9e5d3cadf2b955ce9a7b", "title": "Deep Affinity Network for Multiple Object Tracking", "year": "2018", "pdf": ["https://arxiv.org/pdf/1810.11780.pdf"], "doi": []}, {"id": "3dffacda086689c1bcb01a8dad4557a4e92b8205", "title": "Multiple Object Tracking: A Literature Review", "year": "2014", "pdf": ["https://arxiv.org/pdf/1409.7618.pdf"], "doi": []}, {"id": "29a46aed79df53a1984ee755bed4c8ba2ae94040", "title": "Multiple Object Tracking Using K-Shortest Paths Optimization", "year": "2011", "pdf": 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["https://pdfs.semanticscholar.org/e0f3/b8cbf90096bb0d4b36324c6fe7db89f580b9.pdf"], "doi": []}, {"id": "c74a42afeae520ff6ab280d17bccf0d082ba8de5", "title": "The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/c74a/42afeae520ff6ab280d17bccf0d082ba8de5.pdf"], "doi": []}, {"id": "35af45f799c65d21bbb3cd24f666de861bad33b0", "title": "Multi-Target Tracking by Discrete-Continuous Energy Minimization", "year": "2016", "pdf": ["http://www.milanton.de/files/pami2016/pami2016-anton.pdf", "http://www.visinf.tu-darmstadt.de/media/visinf/vi_papers/2015/milan-pami-preprint.pdf", "https://download.visinf.tu-darmstadt.de/papers/2016-pami-milan-multi_target_tracking_dc-preprint.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7346505", "http://doi.org/10.1109/TPAMI.2015.2505309", "https://www.ncbi.nlm.nih.gov/pubmed/26660703", "https://www.wikidata.org/entity/Q40218457"]}, {"id": "9662acb7fa75691ff0e7d1be87763af469419b8b", "title": "Multi Object Tracking Algorithm use in Video Surveillance Systems", "year": "2015", "pdf": [], "doi": []}, {"id": "08030f9d34cc96384f672d9f9f296914d594335b", "title": "Multiple Object Tracking: A Review", "year": "2014", "pdf": [], "doi": []}, {"id": "29d291e71334392f6a04c53a4194d4ff29a460bf", "title": "Multiple human tracking in RGB-depth data: a survey", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/29d2/91e71334392f6a04c53a4194d4ff29a460bf.pdf"], "doi": []}, {"id": "c77c094faf7b1a4e293609a0909c7c50b468675a", "title": "Satyam: Democratizing Groundtruth for Machine Vision", "year": "2018", "pdf": ["https://arxiv.org/pdf/1811.03621.pdf"], "doi": []}, {"id": "fca56ec29f1d567f829be5f8477a81f1ce732f86", "title": "Social Force Model-Based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking", "year": "2017", "pdf": 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"doi": ["http://doi.org/10.1007/s00138-012-0408-6", "https://www.wikidata.org/entity/Q57736337"]}, {"id": "0c25a4636ebde18e229f7e459f1adaab1e9a2db9", "title": "Multi-class Classification and Clustering based Multi-object Tracking", "year": "", "pdf": ["https://pdfs.semanticscholar.org/0c25/a4636ebde18e229f7e459f1adaab1e9a2db9.pdf"], "doi": []}, {"id": "0f94f4934d0a26dfd243852036468ecc9bf8d22c", "title": "Low Resolution Lidar-Based Multi-Object Tracking for Driving Applications", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/0f94/f4934d0a26dfd243852036468ecc9bf8d22c.pdf"], "doi": []}, {"id": "ab98cb28dc85f85da8b7b3acb090008bab26dd54", "title": "Qualitative Evaluation of Tracking Systems: A Model based approach", "year": "2012", "pdf": [], "doi": []}, {"id": "213255dca20f9a62d5121bb3c875d99c57913a25", "title": "Local cellular neighborhood controls proliferation in cell competition", "year": "2017", "pdf": 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"632c114e12a6b88bd488ddfb1960d669f101ca3f", "title": "Multi-face tracking by extended bag-of-tracklets in egocentric photo-streams", "year": "2016", "pdf": ["https://arxiv.org/pdf/1507.04576.pdf"], "doi": []}, {"id": "c8e32484bbbc63908080284790edafc4b66008d2", "title": "Suivi par r\u00e9-identification dans un r\u00e9seau de cam\u00e9ras \u00e0 champs disjoints", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c8e3/2484bbbc63908080284790edafc4b66008d2.pdf"], "doi": []}, {"id": "3504852a821693857b30c47e08374b479d29ff8f", "title": "Multiple Target Tracking with Recursive-RANSAC and Machine Learning", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/3504/852a821693857b30c47e08374b479d29ff8f.pdf"], "doi": []}, {"id": "a3650762391efbaa743b8212ee408b09f66f0604", "title": "Vision Based Multiple Target Tracking Using Recursive RANSAC", "year": "2015", "pdf": [], "doi": []}, {"id": "89e324b9c64a800e57ad82eddecc03f2cc0b7cc5", "title": "Long-Term Identity-Aware Multi-Person Tracking for Surveillance Video Summarization.", "year": "2016", "pdf": ["https://arxiv.org/pdf/1604.07468.pdf"], "doi": []}, {"id": "3b2f78a4edf5da876e52513d0e3960da7d3a253f", "title": "Qualitative Evaluation of Detection and Tracking Performance", "year": "2012", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6328006", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2012.57", "http://doi.org/10.1109/AVSS.2012.57"]}, {"id": "1bf01e83fba634bab085ec5f0ab86a1a67da8577", "title": "An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking", "year": "2017", "pdf": ["https://arxiv.org/pdf/1502.03532.pdf"], "doi": []}, {"id": "896e2776174dcb86d311789ab83a266151d0595b", "title": "A Novel Performance Evaluation Methodology for Single-Target Trackers", "year": "2016", "pdf": ["https://arxiv.org/pdf/1503.01313.pdf"], "doi": []}, {"id": "7b78af7951708f6059d374e2385a69ea367f62d2", "title": "The positioning accuracy based on the UWB technology for 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"http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.84", "http://doi.org/10.1109/AVSS.2010.84"]}, {"id": "b7e4f5531485b21c9ff6b0a3f93c15fb7a25ae81", "title": "Multiple Object Tracking Based on Robust Network Flow Model", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7820465", "http://doi.ieeecomputersociety.org/10.1109/CIS.2016.0074", "http://doi.org/10.1109/CIS.2016.0074"]}, {"id": "62f5a4424ee0f383f3477cbd9d9e7b2e9c6adb14", "title": "Automatic generation of scene-specific person trackers", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7738079", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2016.7738079", "http://doi.org/10.1109/AVSS.2016.7738079"]}, {"id": "c1a35c25139e4eb94c34cbcca4eabe574c4466e8", "title": "3D Robotic Sensing of People: Human Perception, Representation and Activity Recognition", "year": "2014", "pdf": [], "doi": []}, {"id": "98a8ce914de8846105ee1ee56c0b201d0b0357ac", 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"95296302a7fc82edf782cece082d7319cfa584b7", "title": "Detection-free Bayesian Multi-object Tracking via Spatio-Temporal Video Bundles Grouping", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/9529/6302a7fc82edf782cece082d7319cfa584b7.pdf"], "doi": []}, {"id": "296cacad71b4181eca4a571cf080d2baee229dcc", "title": "Towards Multi-Object Detection and Tracking in Urban Scenario under Uncertainties", "year": "2018", "pdf": ["https://arxiv.org/pdf/1801.02686.pdf"], "doi": []}, {"id": "10c077bf2dd1bed928926feb37837862ab786808", "title": "Multiple Target Tracking and Identity Linking under Split, Merge and Occlusion of Targets and Observations", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/10c0/77bf2dd1bed928926feb37837862ab786808.pdf"], "doi": []}, {"id": "a8d5f1416760dbd8d2993358938f85c7ab04e85a", "title": "Robust Multi-person Tracking for Real-Time Intelligent Video Surveillance", "year": "2015", "pdf": 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["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", "https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/poster.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6918667", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2014.6918667", "http://doi.org/10.1109/AVSS.2014.6918667"]}, {"id": "24f367315bdb96ac001d568b8e2c0ff022845ca5", "title": "MAP-Based Online Data Association for Multiple People Tracking in Crowded Scenes", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976928", "http://doi.org/10.1109/ICPR.2014.218"]}, {"id": "1a20c1d04b93d91cf2fd0b4e3c7bf1153a93942c", "title": "Re-identification for Improved People Tracking", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1a20/c1d04b93d91cf2fd0b4e3c7bf1153a93942c.pdf"], "doi": []}, {"id": "ad88fcfd12b62d607259db8d98e2a1a0a9642ca0", "title": "Real-time tracking-with-detection for coping with viewpoint change", "year": 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"Online pedestrian tracking with multi-stage re-identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8078505", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2017.8078505", "http://doi.org/10.1109/AVSS.2017.8078505"]}, {"id": "8db43d306a70e23e2a0e6eb2fda60f14b73f65d0", "title": "Multi-Commodity Network Flow for Tracking Multiple People", "year": "2013", "pdf": ["https://infoscience.epfl.ch/record/181551/files/top_1.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6636296", "https://www.ncbi.nlm.nih.gov/pubmed/24144976"]}, {"id": "0f29710e54f714eeea5233628afc68c680d881bb", "title": "Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning", "year": "2014", "pdf": ["http://hci.iwr.uni-heidelberg.de/publications/mip/techrep/fiaschi_14_tracking.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2014/papers/Fiaschi_Tracking_Indistinguishable_Translucent_2014_CVPR_paper.pdf", "https://hci.iwr.uni-heidelberg.de/sites/default/files/publications/files/219478572/fiaschi_14_tracking.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6909746", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2014.356", "http://doi.org/10.1109/CVPR.2014.356"]}, {"id": "9b9f921646571ede31671ccfb6763d96c22642c2", "title": "A taxonomy of situated language in natural contexts", "year": "2011", "pdf": [], "doi": []}, {"id": "b3e6e4bed1b5f73aa114d19dcab214661a1d0cd6", "title": "Cooperative passers-by tracking with a mobile robot and external cameras", "year": "2013", "pdf": ["http://homepages.laas.fr/lerasle/pdf/cviu13.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.12.004"]}, {"id": "ad8e7c9bf20a0507acb90b17574da631b3d8b7cd", "title": "Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking", "year": "2016", "pdf": ["https://arxiv.org/pdf/1510.02906.pdf"], "doi": []}, {"id": "3481a544e28cfc14108b0785eef7c12747e622ee", "title": "Online Multi-object Tracking via Structural Constraint Event Aggregation", "year": "2016", "pdf": ["http://faculty.ucmerced.edu/mhyang/papers/cvpr16_mot.pdf", "http://vc.cs.nthu.edu.tw/home/paper/codfiles/melu/201703210652/Online%20Multi-Object%20Tracking%20via%20Structural%20Constraint%20Event%20Aggregation.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Yoon_Online_Multi-Object_Tracking_CVPR_2016_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780524", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.155", "http://doi.org/10.1109/CVPR.2016.155"]}, {"id": "d04d53038d4267cf25badc5d6acccd2fc910a8a7", "title": "Online Multi-Object Tracking with Structural Invariance Constraint", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d04d/53038d4267cf25badc5d6acccd2fc910a8a7.pdf"], "doi": []}, {"id": "76056730a78d286d1d636f7d6239ec510a1a346f", "title": "Tracking via Blocking in Millimeter Wave Communication Networks", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8422674", "http://doi.org/10.1109/ICC.2018.8422674"]}, {"id": "016860404c0926dda53b9bf4745f3eb9708fa1d2", "title": "Iterative hypothesis testing for multi-object tracking in presence of features with variable reliability", "year": "2015", "pdf": ["https://arxiv.org/pdf/1509.00313.pdf"], "doi": []}, {"id": "27b2f28fca10afaa046ae3821685d05a267287cf", "title": "Recurrent Metric Networks and Batch Multiple Hypothesis for Multi-Object Tracking", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8584998"]}, {"id": "0aaf9868487c1d2ca4c73aaa5f3530df6ee431d3", "title": "Tracking the 3D position and orientation of flying swarms with learned kinematic pattern using LSTM network", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8019406", "http://doi.ieeecomputersociety.org/10.1109/ICME.2017.8019406", "http://doi.org/10.1109/ICME.2017.8019406"]}, {"id": "5d8ab5c473eb9e083ceb35ebeb00a062114ee6ac", "title": "A Reinforcement Learning Approach to Target Tracking in a Camera Network", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.10336.pdf"], "doi": []}, {"id": "98bf42055160845e6f8f3c022298e3b8e4e55f80", "title": "Vision Meets Drones: A Challenge", "year": "2018", "pdf": ["https://arxiv.org/pdf/1804.07437.pdf"], "doi": []}, {"id": "36bccfb2ad847096bc76777e544f305813cd8f5b", "title": "WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "year": "2018", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2018/Supplemental/1562-supp.pdf", "http://openaccess.thecvf.com/content_cvpr_2018/papers/Chavdarova_WILDTRACK_A_Multi-Camera_CVPR_2018_paper.pdf", "http://www.idiap.ch/~fleuret/papers/chavdarova-et-al-cvpr2018.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578626", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2018.00528", "http://doi.org/10.1109/CVPR.2018.00528"]}, {"id": "b7075081b9d2c88e1b50b627d6146d9d3460f9ff", "title": "Robust joint learning network: improved deep representation learning for person re-identification", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1007/s11042-018-6998-x"]}, {"id": "4327d23ffa232f753964bdc7ba07991d7dd23cc9", "title": "Attention in Multimodal Neural Networks for Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575515"]}, {"id": "e42e7735f94a8f498ef0bf790ab43a668f904848", "title": "Low-Latency Detec on and Tracking of Aircra in Very High-Resolu on Video Feeds", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/e42e/7735f94a8f498ef0bf790ab43a668f904848.pdf"], "doi": []}, {"id": "b90b462619ba03fd3de0fd01b6c293185f4ba71d", "title": "Learning from 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"6403117f9c005ae81f1e8e6d1302f4a045e3d99d", "title": "A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8294254"]}, {"id": "4e12080616da4b540c8f79db2dd1b654cd8345ce", "title": "Pose-Driven Deep Models for Person Re-Identification.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.08709.pdf"], "doi": []}, {"id": "ffbe733a352c1d995f6f5c99ac0c7f01567165dc", "title": "Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification", "year": "2017", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2017_workshops/w17/papers/Wu_Track-Clustering_Error_Evaluation_CVPR_2017_paper.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8014918", "http://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.184", "http://doi.org/10.1109/CVPRW.2017.184"]}, {"id": 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["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7298764", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2015.7298764", "http://doi.org/10.1109/CVPR.2015.7298764"]}, {"id": "9caa7f125d3e861450bc3685699fceeaebea04d8", "title": "Designing Video Surveillance Systems as Services", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9caa/7f125d3e861450bc3685699fceeaebea04d8.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "doi": []}, {"id": "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "title": "Person Re-Identification with Deep Features and Transfer Learning", "year": "2017", "pdf": [], "doi": 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"2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "1de96fa00e498b425a34a85b7fb491431d00a41c", "title": "Appearance features in Encoding Color Space for visual surveillance", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2018.04.019"]}, {"id": "8e4508e86d838356c9ec4a7011fda5cd1d8d35a3", "title": "Finding suspects in multiple cameras for improved railway protection", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/8e45/08e86d838356c9ec4a7011fda5cd1d8d35a3.pdf"], "doi": []}, {"id": "998bb8720fe25c6b38fbc70b1142fafde46e39e5", "title": "Joint Feature and Similarity Deep Learning for Vehicle Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8424333", "http://doi.org/10.1109/ACCESS.2018.2862382"]}, {"id": "9836ebbef8ba972af323e20ba7667e2d03105895", "title": "A Neuromorphic Person Re-Identification Framework for Video Surveillance", "year": "2017", "pdf": ["http://dspace.nitrkl.ac.in/dspace/bitstream/2080/2759/1/IEEEAccess_V5_6471-6482_ANanda.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7885600", "http://doi.org/10.1109/ACCESS.2017.2686438"]}, {"id": "5c9c153f705a02e157adcf49dccf4f1eeb70cf93", "title": "Learning Appearance Transfer for Person Re-identification", "year": "2014", "pdf": ["http://www.cs.technion.ac.il/~tammya/Publications/AvrahamLindenbaumREIDchapter2014.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_11"]}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.10630.pdf"], "doi": []}, {"id": "88dddb8ea1bc1ad08598e232a67f2bbfbcf3d6ba", "title": "Shinpuhkan2014: A Multi-Camera Pedestrian Dataset for Tracking People across Multiple Cameras", "year": "2014", "pdf": [], "doi": []}, {"id": "ec6340adb88d8443343e0f66f846a8c8c79ebb6f", "title": "Person Re-identification Using Spatial Covariance Regions of Human Body Parts", "year": "2010", "pdf": ["http://www.researchgate.net/profile/Francois_Bremond/publication/224181516_Person_Re-identification_Using_Spatial_Covariance_Regions_of_Human_Body_Parts/links/00b495214e3ee02970000000.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5597114", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2010.34", "http://doi.org/10.1109/AVSS.2010.34"]}, {"id": "0f25aa473e808de72c6975fdb1e3e65180a38c05", "title": "Bag of Soft Biometrics for Person Identification New trends and challenges", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/0f25/aa473e808de72c6975fdb1e3e65180a38c05.pdf"], "doi": []}, {"id": "6a167375410115d83be377de1f9714929f301b00", "title": "End-to-End Correspondence and Relationship Learning of Mid-Level Deep Features for Person Re-Identification", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8227426", "http://doi.org/10.1109/DICTA.2017.8227426"]}, {"id": "b63411ed70ba315b87a716e1809faea48e70a982", "title": "A Survey on Object Detect , Track and Identify Using Video Surveillance", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/b634/11ed70ba315b87a716e1809faea48e70a982.pdf"], "doi": []}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "816c1925de9e8557fa70ec67d0ff71a5059eb931", "title": "Person Re-identification by Articulated Appearance Matching", "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/CristaniChapterRe-IDCustom2013.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_7"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", 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Re-Identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8506353"]}, {"id": "360a590703542f2ba345b432416398b6dad9e3fb", "title": "Multimodal Person Reidentification Using RGB-D Cameras", "year": "2016", "pdf": ["https://pralab.diee.unica.it/sites/default/files/Pala_IEEE_TCSVT2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7088601", "http://doi.org/10.1109/TCSVT.2015.2424056"]}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578705"]}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"], "doi": []}, {"id": 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"b39caa8b3f8d2da981285a0115a61a66b5f50b93", "title": "Towards Open-World Person Re-Identification by One-Shot Group-Based Verification", "year": "2016", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Person_VeriReId-preprint.pdf", "https://www.computer.org/csdl/trans/tp/2016/03/07398274.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152932", "http://doi.org/10.1109/TPAMI.2015.2453984", "https://www.ncbi.nlm.nih.gov/pubmed/27046499", "https://www.wikidata.org/entity/Q35980118"]}, {"id": "3454e7bc68713f03000e6eeaab67d6401ba24531", "title": "Transferring attributes for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301803", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301803", "http://doi.org/10.1109/AVSS.2015.7301803"]}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607577", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607577", "http://doi.org/10.1109/ICME.2013.6607577"]}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "title": "Re-identifying People Based on Indexing Structure and Manifold Appearance Modeling", "year": "2013", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2013_SIBGRAPI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656189", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.38", "http://doi.org/10.1109/SIBGRAPI.2013.38"]}, {"id": "c038186138b76a625500ff84c9dadb18aae29f1c", "title": "Learning Implicit Transfer for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c038/186138b76a625500ff84c9dadb18aae29f1c.pdf"], "doi": []}, {"id": "21fc82d819d2a1a70465471be67260a1d6c0982e", "title": "Kernelized random KISS metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.064"]}, {"id": "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "title": "Learning Locally-Adaptive Decision Functions for Person Verification", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/zhenli_cvpr13-camera-check.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d610.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_Locally-Adaptive_Decision_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~chang87/papers/cvpr_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619307", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.463", "http://doi.org/10.1109/CVPR.2013.463"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.pdf"], "doi": []}, {"id": "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "title": "Feedback mechanism based iterative metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.04.012"]}, {"id": "cb8567f074573a0d66d50e75b5a91df283ccd503", "title": "Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1708.05512.pdf"], "doi": []}, {"id": "2aacfcdc5d06c86901852f7b666d17e97822ba23", "title": "BiCov: a novel image representation for person re-identification and face verification", "year": "2012", "pdf": ["http://www.bmva.org/bmvc/2012/BMVC/paper057/abstract057.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper057/paper057.pdf", "http://www.jdl.ac.cn/user/bpma/homepage/Paper/BMVC2012_BiCov%20a%20novel%20image%20representation%20for%20person%20re-identification%20and%20face%20verification.pdf"], "doi": ["http://doi.org/10.5244/C.26.57", "https://hal.archives-ouvertes.fr/hal-00806112/document"]}, {"id": "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "title": "Human Gait Recognition using Deep Neural Networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905192"]}, {"id": "47022785c35735a242dbacd4f1f1bb73628493ea", "title": "Person Retrieval Based on Viewpoint Saliency Prior", "year": "2013", "pdf": 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"http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "title": "Deep Metric Learning for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf", "https://pdfs.semanticscholar.org/3635/8eff7c34de64c0ce8aa42cf7c4da24bf8e93.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976727", "http://doi.org/10.1109/ICPR.2014.16"]}, {"id": "b5c3df6e0e3b25411151d92d431908adceca1a23", "title": "Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8522036", "http://doi.org/10.1109/ACCESS.2018.2879490"]}, {"id": "60fb007eef153fdf9c3d6620c419bef1c657c555", "title": "A soft-biometrics dataset for person tracking and re-identification", "year": "2014", "pdf": ["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", 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"9e8e9e04bfce59907f7c8a73e03f7ebe034120b8", "title": "Adaptive Minimum Classification Error based KISS Metric Learning for Person Re-identification", "year": "", "pdf": ["https://pdfs.semanticscholar.org/9e8e/9e04bfce59907f7c8a73e03f7ebe034120b8.pdf"], "doi": []}, {"id": "d71cefc30269feaa1de3e330b472a7dc66ec95d3", "title": "Person Re-Identification as Image Retrieval Using Bag of Ensemble Colors", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/d71c/efc30269feaa1de3e330b472a7dc66ec95d3.pdf"], "doi": []}, {"id": "cf682939be6828d1a70161618024e02af660d1bb", "title": "Structured learning of metric ensembles with application to person re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1511.08531.pdf"], "doi": []}, {"id": "bbaebcc0a2d65dea32fe1cf2a2aa12c65bb1b3da", "title": "Track based relevance feedback for tracing persons in surveillance videos", "year": "2013", "pdf": ["https://ivi.fnwi.uva.nl/isis/publications/2013/MetternichCVIU2013/MetternichCVIU2013.pdf"], "doi": ["http://doi.org/10.1016/j.cviu.2012.11.004"]}, {"id": "1459d4d16088379c3748322ab0835f50300d9a38", "title": "Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning", "year": "2017", "pdf": ["https://arxiv.org/pdf/1605.04039.pdf"], "doi": []}, {"id": "eaaf411826d129c2a31d997dc3f5f708a8186656", "title": "SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/eaaf/411826d129c2a31d997dc3f5f708a8186656.pdf"], "doi": []}, {"id": "99d3bc6d62675297693e5e57ff0770e7017f9637", "title": "Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.09150.pdf"], "doi": []}, {"id": "4441f529631a9278f5893f8302c2448039456fd9", "title": "A compact color descriptor for person re-identification with clothing selection from a wardrobe", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7177526", "http://doi.ieeecomputersociety.org/10.1109/ICME.2015.7177526", "http://doi.org/10.1109/ICME.2015.7177526"]}, {"id": "78b046f79754d61afb985f100f98b83399cb2b63", "title": "Efficient object-based surveillance image search using spatial pooling of convolutional features", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.jvcir.2017.02.010", "https://www.wikidata.org/entity/Q57581691"]}, {"id": "471bef061653366ba66a7ac4f29268e8444f146e", "title": "Semi-supervised Component Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7379656", "http://doi.org/10.1109/SMC.2015.524"]}, {"id": "f10f6c294130c76981f0e584af5811c44636eda5", "title": "The Re-identification Challenge", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/109c/7a377a1160ff36874829e3d0a47e08d7ea5e.pdf"], "doi": []}, {"id": "e27ef52c641c2b5100a1b34fd0b819e84a31b4df", "title": "SARC3D: A New 3D Body Model for People Tracking and Re-identification", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/e27e/f52c641c2b5100a1b34fd0b819e84a31b4df.pdf"], "doi": []}, {"id": "1f6dd0ff2e8493b81e3699b520193198d4eed4e6", "title": "Shaogang Gong Part I Features and Representations 1 Discriminative Image Descriptors for Person Re-identification . . . . . 25 7 One-shot Person Re-identification with a Consumer Depth Camera . 163 List of Contributors the Re-identification Challenge", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/1f6d/d0ff2e8493b81e3699b520193198d4eed4e6.pdf"], "doi": []}, {"id": "8ae80fab47049968f8f3ff07fffeca9665ae1f52", "title": "Efficient and Deep Person Re-identification Using Multi-level Similarity", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578346"]}, {"id": "afd29ac2de84c8a6d48232477be018ec57d6f564", "title": "Deep Metric Learning for Practical Person Re-Identification", "year": "2014", "pdf": 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People re-identification using Depth Cameras", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/88c5/baffa5522ea62ff5d5c41036b92e30d7e3c9.pdf"], "doi": []}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "71dc03d6c837ca9ec1334a63bea24d836de076a0", "title": "Complex Events Recognition under Uncertainty in a Sensor Network.", "year": "2014", "pdf": ["https://arxiv.org/pdf/1411.0085.pdf"], "doi": []}, {"id": "a0303a4d37e8264028808661050c4443b6b880de", "title": "Robust Video Object Tracking in Distributed Camera Networks", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/a030/3a4d37e8264028808661050c4443b6b880de.pdf"], "doi": []}, {"id": "d740a9d099a86e234084234af09c060d736f764c", "title": "Improved Person Re-Identification Using Statistical Approximation", "year": 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["http://lrs.icg.tugraz.at/pubs/hirzer_icip_2012.pdf", "https://www.tugraz.at/fileadmin/user_upload/Institute/ICG/Documents/lrs/pubs/hirzer_icip_2012.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6467185", "http://doi.org/10.1109/ICIP.2012.6467185"]}, {"id": "451d777ee33833a3b5eb6ba5292fae162c6d265f", "title": "Exploiting Feature Correlations by Brownian Statistics for People Detection and Recognition", "year": "2017", "pdf": ["http://www-sop.inria.fr/members/Francois.Bremond/Postscript/slawekSMCBrownian2016.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7445882", "http://doi.org/10.1109/TSMC.2016.2531658"]}, {"id": "69ee78388e0f40941496ab92efe3e0fa065ad22e", "title": "Person Re-Identification with RGB-D Camera in Top-View Configuration through Multiple Nearest Neighbor Classifiers and Neighborhood Component Features Selection", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/69ee/78388e0f40941496ab92efe3e0fa065ad22e.pdf"], 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Video Surveillance Systems as Services", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/9caa/7f125d3e861450bc3685699fceeaebea04d8.pdf"], "doi": []}, {"id": "367008b91eb57c5ea64ef7520dfcabc0c5c85532", "title": "Person Re-identification: Past, Present and Future", "year": "2016", "pdf": ["https://arxiv.org/pdf/1610.02984.pdf"], "doi": []}, {"id": "a7fe834a0af614ce6b50dc093132b031dd9a856b", "title": "Orientation Driven Bag of Appearances for Person Re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1605.02464.pdf"], "doi": []}, {"id": "5cd2b28b9e88b2be0b8c9d9ddce8440656477d1c", "title": "Person Re-Identification with Deep Features and Transfer Learning", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8005887", "http://doi.ieeecomputersociety.org/10.1109/CSE-EUC.2017.136", "http://doi.org/10.1109/CSE-EUC.2017.136"]}, {"id": "7c8e64f20b58ddd1fc0e9c972c3eb0fe35b40a6b", "title": "Multiple-shot person re-identification by chromatic and epitomic analyses", "year": "2012", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/PRL2012Cristani.pdf"], "doi": ["http://doi.org/10.1016/j.patrec.2011.11.016"]}, {"id": "22a7f1aebdb57eecd64be2a1f03aef25f9b0e9a7", "title": "Attribute-restricted latent topic model for person re-identification", "year": "2012", "pdf": ["http://www-users.cs.umn.edu/~qzhao/publications/pdf/person_reidentification_pr12.pdf", "https://www.ece.nus.edu.sg/stfpage/eleqiz/publications/pdf/person_reidentification_pr12.pdf"], "doi": ["http://doi.org/10.1016/j.patcog.2012.05.019"]}, {"id": "acaa89fb6263aef7ad58a37d9cac79c8fcaa29ca", "title": "Person Re-identification in Identity Regression Space", "year": "2018", "pdf": ["https://arxiv.org/pdf/1806.09695.pdf"], "doi": []}, {"id": "1de96fa00e498b425a34a85b7fb491431d00a41c", "title": "Appearance features in Encoding Color Space for visual surveillance", "year": "2018", "pdf": [], "doi": ["https://doi.org/10.1016/j.neucom.2018.04.019"]}, 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Transfer for Person Re-identification", "year": "2014", "pdf": ["http://www.cs.technion.ac.il/~tammya/Publications/AvrahamLindenbaumREIDchapter2014.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_11"]}, {"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "f8ebba8188c9f6b1688ba7ba76f297215e6cc7c7", "title": "Triplet-Based Deep Similarity Learning for Person Re-Identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1802.03254.pdf"], "doi": []}, {"id": "70ce1a17f257320fc718d61964b21e7aeabd8cd5", "title": "Person re-identification with fusion of hand-crafted and deep pose-based body region features", "year": "2018", "pdf": 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by Articulated Appearance Matching", "year": "2014", "pdf": ["http://profs.sci.univr.it/~cristanm/Publications_files/CristaniChapterRe-IDCustom2013.pdf"], "doi": ["http://doi.org/10.1007/978-1-4471-6296-4_7"]}, {"id": "7ac25c5391251611696d16e677bd71040d80d583", "title": "Person Re-Identification by Saliency Learning", "year": "2016", "pdf": ["https://arxiv.org/pdf/1412.1908.pdf"], "doi": []}, {"id": "149d0f12530a874093a478551e7f04c6641099d8", "title": "Person re-identification via hypergraph-based matching", "year": "2016", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2015.12.029"]}, {"id": "230527d37421c28b7387c54e203deda64564e1b7", "title": "Person Re-identification: System Design and Evaluation Overview", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/2305/27d37421c28b7387c54e203deda64564e1b7.pdf"], "doi": []}, {"id": "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "title": "3 A : A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION", "year": 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["https://pralab.diee.unica.it/sites/default/files/Pala_IEEE_TCSVT2015.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7088601", "http://doi.org/10.1109/TCSVT.2015.2424056"]}, {"id": "3f95710d17556d5064bda289dea5adbce2777a59", "title": "Eliminating Background-bias for Robust Person Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8578705"]}, {"id": "1bea531e8271202462c7907f60a8458fa5aec00d", "title": "Ein generisches System zur automatischen Detektion, Verfolgung und Wiedererkennung von Personen in Videodaten", "year": "2011", "pdf": ["https://pdfs.semanticscholar.org/1bea/531e8271202462c7907f60a8458fa5aec00d.pdf"], "doi": []}, {"id": "2084e54505cfe4fd81005167b1b11d10b5f837d1", "title": "Person Re-Identification by Discriminative Selection in Video", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/d43f/4cd42c17c6f0ae0186fef0d98eaef2044f31.pdf"], "doi": []}, {"id": 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"b39caa8b3f8d2da981285a0115a61a66b5f50b93", "title": "Towards Open-World Person Re-Identification by One-Shot Group-Based Verification", "year": "2016", "pdf": ["http://isee.sysu.edu.cn/~zhwshi/Research/PreprintVersion/Person_VeriReId-preprint.pdf", "https://www.computer.org/csdl/trans/tp/2016/03/07398274.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7152932", "http://doi.org/10.1109/TPAMI.2015.2453984", "https://www.ncbi.nlm.nih.gov/pubmed/27046499", "https://www.wikidata.org/entity/Q35980118"]}, {"id": "3454e7bc68713f03000e6eeaab67d6401ba24531", "title": "Transferring attributes for person re-identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7301803", "http://doi.ieeecomputersociety.org/10.1109/AVSS.2015.7301803", "http://doi.org/10.1109/AVSS.2015.7301803"]}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"id": "e255ca660def135eb6ac99127d08df032876d8ab", "title": "Bidirectional ranking for person re-identification", "year": "2013", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6607577", "http://doi.ieeecomputersociety.org/10.1109/ICME.2013.6607577", "http://doi.org/10.1109/ICME.2013.6607577"]}, {"id": "ae936628e78db4edb8e66853f59433b8cc83594f", "title": "PRISM: Person Reidentification via Structured Matching", "year": "2017", "pdf": ["https://arxiv.org/pdf/1406.4444.pdf"], "doi": []}, {"id": "b0b43cc7c42cf4a44ea9040455ec40744b3e0d21", "title": "Re-identifying People Based on Indexing Structure and Manifold Appearance Modeling", "year": "2013", "pdf": ["http://www.ssig.dcc.ufmg.br/wp-content/uploads/2015/06/paper_2013_SIBGRAPI.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6656189", "http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2013.38", "http://doi.org/10.1109/SIBGRAPI.2013.38"]}, {"id": "c038186138b76a625500ff84c9dadb18aae29f1c", "title": "Learning Implicit Transfer for Person Re-identification", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/c038/186138b76a625500ff84c9dadb18aae29f1c.pdf"], "doi": []}, {"id": "21fc82d819d2a1a70465471be67260a1d6c0982e", "title": "Kernelized random KISS metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.064"]}, {"id": "3e9ab40e6e23f09d16c852b74d40264067ac6abc", "title": "Learning Locally-Adaptive Decision Functions for Person Verification", "year": "2013", "pdf": ["http://researcher.watson.ibm.com/researcher/files/us-liangliang.cao/zhenli_cvpr13-camera-check.pdf", "http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_CVPR2013/data/Papers/4989d610.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Li_Learning_Locally-Adaptive_Decision_2013_CVPR_paper.pdf", "http://www.ifp.illinois.edu/~chang87/papers/cvpr_2013.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6619307", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2013.463", "http://doi.org/10.1109/CVPR.2013.463"]}, {"id": "1da19761c5b36e3169e7c7e9d2b2c519b5276691", "title": "Person Re-Identification by Common-Near-Neighbor Analysis", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/1da1/9761c5b36e3169e7c7e9d2b2c519b5276691.pdf"], "doi": []}, {"id": "83d58ac8221c3ccf33cb41ec9a8b3556e5ebb397", "title": "Feedback mechanism based iterative metric learning for person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.04.012"]}, {"id": "2aacfcdc5d06c86901852f7b666d17e97822ba23", "title": "BiCov: a novel image representation for person re-identification and face verification", "year": "2012", "pdf": ["http://www.bmva.org/bmvc/2012/BMVC/paper057/abstract057.pdf", "http://www.bmva.org/bmvc/2012/BMVC/paper057/paper057.pdf", "http://www.jdl.ac.cn/user/bpma/homepage/Paper/BMVC2012_BiCov%20a%20novel%20image%20representation%20for%20person%20re-identification%20and%20face%20verification.pdf"], "doi": ["http://doi.org/10.5244/C.26.57", "https://hal.archives-ouvertes.fr/hal-00806112/document"]}, {"id": "ce51d6533f4ef7f2c7dc417342b7e72211c4c516", "title": "Human Gait Recognition using Deep Neural Networks", "year": "2016", "pdf": [], "doi": ["http://dl.acm.org/citation.cfm?id=2905192"]}, {"id": "47022785c35735a242dbacd4f1f1bb73628493ea", "title": "Person Retrieval Based on Viewpoint Saliency Prior", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/4702/2785c35735a242dbacd4f1f1bb73628493ea.pdf"], "doi": []}, {"id": "5a08b451b0397782d81edb5b614bb2a523c6be98", "title": "Learning Correspondence Structures for Person Re-Identification", "year": "2017", "pdf": 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(R\u00e9-identification de personne dans un r\u00e9seau de cameras vid\u00e9o)", "year": "2012", "pdf": ["https://pdfs.semanticscholar.org/1c03/19d67707dd7dde76e47668e852e74692df30.pdf"], "doi": []}, {"id": "3c2f1d13b284823597c2c366312a6ae6ac6c7147", "title": "Diversity Regularized Spatiotemporal Attention for Video-Based Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1803.09882.pdf"], "doi": []}, {"id": "514273063cebe911f0b628d012e9553129181996", "title": "Distributed Implementation for Person Re-Identification", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7288501"]}, {"id": "688680d9902f688b9ac2d47c399ceebd1014d785", "title": "GIS-supported people tracking re-acquisition in a multi-camera environment", "year": "2014", "pdf": ["http://www.iti.gr/iti/files/document/publications/MUSESUAN_PAPER_7.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7514530", "http://ieeexplore.ieee.org/document/7514530/"]}, {"id": "140a587914d1e60f636c1a479c4673631ad78d04", "title": "Convolutional covariance features: Conception, integration and performance in person re-identification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2016.07.013"]}, {"id": "989d7ee9b43a528f99f33a9f92d16ced735019d1", "title": "Identity Alignment by Noisy Pixel Removal", "year": "2017", "pdf": [], "doi": []}, {"id": "2f43233c1c165f225bb002874dac967736525d85", "title": "Transitive Re-identification", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/bb6f/88501d21081387543aa15856e559c59ca725.pdf"], "doi": []}, {"id": "f34fdcaba3ab1c2533a00b10d83263af5d488e8d", "title": "Multi-Pose Learning based Head-Shoulder Re-identification", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8397013", "http://doi.ieeecomputersociety.org/10.1109/MIPR.2018.00057", "http://doi.org/10.1109/MIPR.2018.00057"]}, {"id": "7557e81c1189f0ef9643519e0664d60baed51721", "title": "Robust and Efficient Graph Correspondence Transfer for Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.06323.pdf"], "doi": []}, {"id": "a9351c53346be32b7d6e0e80a93f2e383fe85eae", "title": "Relevance Metric Learning for Person Re-identification by Exploiting Global Similarities", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6977003", "http://doi.org/10.1109/ICPR.2014.292"]}, {"id": "5a603ab4b6353fc244361930c28723b3bc091f4b", "title": "Deep Feature Learning with Relative Distance Comparison for Person Re-identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.03622.pdf"], "doi": []}, {"id": "01381e2faeb26489ae9c24c84c42df33901cfe61", "title": "Multi-scale Deep Learning Architectures for Person Re-identification", "year": "2017", "pdf": ["https://arxiv.org/pdf/1709.05165.pdf"], "doi": []}, {"id": "830fb48d04609bef50ae7f8f3513ce1b160894c9", "title": "Multi-Shot Human Re-Identification for the Security in Video Surveillance Systems", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8495936", "http://doi.ieeecomputersociety.org/10.1109/WETICE.2018.00046", "http://doi.org/10.1109/WETICE.2018.00046"]}, {"id": "ae299fad29ba650fbf1e14c7c95ba8ae32e095f0", "title": "Person Re-Identification by Robust Canonical Correlation Analysis", "year": "2015", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7006657", "http://doi.org/10.1109/LSP.2015.2390222"]}, {"id": "39df6ca15f41e5a674ed8cd1654e699dbc8b8c11", "title": "Human tracking over camera networks: a review", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/39df/6ca15f41e5a674ed8cd1654e699dbc8b8c11.pdf"], "doi": []}, {"id": "cd041e47807124d2ee9e88cfdfb47491da8c2b13", "title": "Automatic detection of suspicious behavior of pickpockets with track-based features in a shopping mall", "year": "2014", "pdf": ["https://pdfs.semanticscholar.org/cd04/1e47807124d2ee9e88cfdfb47491da8c2b13.pdf"], "doi": []}, {"id": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"], "doi": []}, {"id": "61ab9bf00e444d12816886da0d68b833c47c152e", "title": "A coarse-to-fine deep learning for person re-identification", "year": "2016", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7477677", "http://doi.ieeecomputersociety.org/10.1109/WACV.2016.7477677", "http://doi.org/10.1109/WACV.2016.7477677"]}, {"id": "d008e8662b7e482b88e6dee7c50bd939d28e7628", "title": "People detection, tracking and re-identification through a video camera network. 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{"id": "16e577820999e584c787ec611f55746cf9147518", "title": "Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs", "year": "2015", "pdf": ["http://www.cs.jhu.edu/~andyjhma/DAPRIDfinal.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7018030", "http://doi.org/10.1109/TIP.2015.2395715", "https://www.ncbi.nlm.nih.gov/pubmed/25622315", "https://www.wikidata.org/entity/Q41524881"]}, {"id": "2fa16dc0ee50550c1bf58c410912d48cddbc3554", "title": "Search Tracker: Human-Derived Object Tracking in the Wild Through Large-Scale Search and Retrieval", "year": "2017", "pdf": ["https://arxiv.org/pdf/1602.01890.pdf"], "doi": []}, {"id": "a52d6daf72281521ee99dabd82cd80093e8d6f4a", "title": "Person re-identification across different datasets with multi-task learning", "year": "2018", "pdf": ["https://arxiv.org/pdf/1807.09666.pdf"], "doi": []}, {"id": "07db2bec3691535ad9d8525b4cd0f230ddc6b384", "title": "Covariance based person re-identification using spectral matching", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7030437"]}, {"id": "1a3bd11734742234ed8b12bf6221f2569b2a59db", "title": "Bagging based metric learning for person re-identification", "year": "2014", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6890259", "http://doi.ieeecomputersociety.org/10.1109/ICME.2014.6890259", "http://doi.org/10.1109/ICME.2014.6890259"]}, {"id": "6752b59da83c03e64c73f9248a67304713b6efa9", "title": "Chapter 3 Re-identification by Covariance Descriptors", "year": "2013", "pdf": ["https://pdfs.semanticscholar.org/6752/b59da83c03e64c73f9248a67304713b6efa9.pdf"], "doi": []}, {"id": "091b4ad74ac5bec206604673506b19838d6a0c52", "title": "Person Re-identification by Saliency Learning", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/091b/4ad74ac5bec206604673506b19838d6a0c52.pdf"], "doi": []}, {"id": "21e880907053301b621d318a4b81dbe1b51c3aad", "title": "A Novel Visual Word 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"http://doi.org/10.1109/ACCESS.2018.2871149"]}, {"id": "36358eff7c34de64c0ce8aa42cf7c4da24bf8e93", "title": "Deep Metric Learning for Person Re-identification", "year": "2014", "pdf": ["http://www.cbsr.ia.ac.cn/users/zlei/papers/ICPR2014/Yi-ICPR-14.pdf", "https://pdfs.semanticscholar.org/3635/8eff7c34de64c0ce8aa42cf7c4da24bf8e93.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6976727", "http://doi.org/10.1109/ICPR.2014.16"]}, {"id": "b5c3df6e0e3b25411151d92d431908adceca1a23", "title": "Person Re-Identification by Pose Invariant Deep Metric Learning With Improved Triplet Loss", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8522036", "http://doi.org/10.1109/ACCESS.2018.2879490"]}, {"id": "60fb007eef153fdf9c3d6620c419bef1c657c555", "title": "A soft-biometrics dataset for person tracking and re-identification", "year": "2014", "pdf": ["https://cvhci.anthropomatik.kit.edu/~aschuman/sobisdata/files/avss2014.pdf", 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"http://ieeexplore.ieee.org/document/6460641/"]}, {"id": "734516f9eec8ec70ef924806fbc6f8093e94a0e8", "title": "Recurrent Convolutional Network for Video-Based Person Re-identification", "year": "2016", "pdf": ["http://openaccess.thecvf.com/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "http://pure.qub.ac.uk/portal/files/27151912/PID4180443.pdf", "http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/McLaughlin_Recurrent_Convolutional_Network_CVPR_2016_paper.pdf", "https://www.qub.ac.uk/sites/CSIT/ACEpublications/2016Papers/Filetoupload,734119,en.pdf"], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780517", "http://doi.ieeecomputersociety.org/10.1109/CVPR.2016.148", "http://doi.org/10.1109/CVPR.2016.148"]}, {"id": "6097ea6fd21a5f86a10a52e6e4dd5b78a436d5bf", "title": "Multiregion Bilinear Convolutional Neural Networks for Person Re-Identification", "year": "2015", "pdf": ["https://arxiv.org/pdf/1512.05300.pdf"], 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