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Technology, Northwestern Polytechnical University, Xi'an 710072, China", "Northwestern Polytechnical University", "Northwestern Polytechnical University", "\u897f\u5317\u5de5\u4e1a\u5927\u5b66 \u53cb\u8c0a\u6821\u533a, 127\u53f7, \u53cb\u8c0a\u897f\u8def, \u957f\u5b89\u8def, \u7891\u6797\u533a (Beilin), \u897f\u5b89\u5e02, \u9655\u897f\u7701, 710072, \u4e2d\u56fd", "34.24691520", "108.91061982", "edu", "", "China", "2016"], ["Video-Based Human Behavior Understanding: A Survey", "Department of Information Engineering and Computer Science, University of Trento, Trento, Italy", "University of Trento", "University of Trento", "University of Trento, Via Giuseppe Verdi, Piedicastello, Trento, Territorio Val d'Adige, TN, TAA, 38122, Italia", "46.06588360", "11.11598940", "edu", "", "Italy", "2013"], ["Spatial Pyramid-Based Statistical Features for Person Re-Identification: A Comprehensive Evaluation", "School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China", "Beijing University of Posts and Telecommunications", "Beijing University of Posts and Telecommunications", "\u5317\u4eac\u90ae\u7535\u5927\u5b66, \u897f\u571f\u57ce\u8def, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100082, \u4e2d\u56fd", "39.96014880", "116.35193921", "edu", "", "China", "2018"], ["Person Re-Identification with Correspondence Structure Learning", "", "Microsoft Research Asia", "Microsoft Research Asia", "1 Memorial Dr, Cambridge, MA 02142, USA", "42.36142560", "-71.08120920", "company", "", "United States", "2015"], ["Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"], ["Camera calibration parameters for oriented person re-identification", "University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "University of Alcal\u00e1", "GRAM, University of Alcal\u00e1, Alcal\u00e1 de Henares, Spain", "Plaza de San Diego, s/n, 28801 Alcal\u00e1 de Henares, Madrid, Spain", "40.48247220", "-3.36286740", "edu", "", "Spain", "2015"], ["Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11)", "Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy", "Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy", "Universit\u00e0 di Modena e Reggio Emilia, Modena, Italy", "Via Universit\u00e0, 4, 41121 Modena MO, Italy", "44.64510460", "10.92792680", "edu", "", "Italy", "2011"], ["A complete person re-identification model using Kernel-PCA-based Gabor-filtered hybrid descriptors", "Department of Computer Science and Engineering, Christ University, Bengaluru, India", "Jyothi Institute of Technology, Bengaluru, India", "Centre for Incubation, Innovation, Research and Consultancy, Jyothi Institute of Technology, Bengaluru, India", "Kanakapura Rd, Bengaluru, Karnataka 560082, India", "12.84122790", "77.51195860", "edu", "", "India", "2018"], ["A computationally efficient pipeline for camera-based indoor person tracking", "Department of Electrical and Computer Engineering, University of Auckland", "University of Auckland", "University of Auckland", "Auckland 1010, New Zealand", "-36.85233780", "174.76910730", "edu", "", "", "2017"], ["Open-set Person Re-identification", "", "Chinese Academy of Sciences", "Chinese Academy of Sciences", "\u4e2d\u56fd\u79d1\u5b66\u9662\u5fc3\u7406\u7814\u7a76\u6240, 16, \u6797\u8403\u8def, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 100101, \u4e2d\u56fd", "40.00447950", "116.37023800", "edu", "", "China", "2014"], ["Person Re-Identification Using Kernel-Based Metric Learning Methods", "", "Northeastern University", "Northeastern University", "Snell Library, 360, Huntington Avenue, Roxbury Crossing, Fenway, Boston, Suffolk County, Massachusetts, 02115, USA", "42.33836680", "-71.08793524", "edu", "", "United States", "2014"], ["Kernel Distance Metric Learning Using Pairwise Constraints for Person Re-Identification", "Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium", "Ghent University", "Ghent University", "St. Pietersnieuwstraat 33, 9000 Gent, Belgium", "51.04656190", "3.72791810", "edu", "", "Belgium", "2019"], ["Towards more reliable matching for person re-identification", "School of Information Science and Technology, Sun Yat-sen University, China", "Sun Yat-Sen University", "Sun Yat-Sen University", "\u4e2d\u5927, \u65b0\u6e2f\u897f\u8def, \u9f99\u8239\u6ed8, \u5eb7\u4e50, \u6d77\u73e0\u533a (Haizhu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510105, \u4e2d\u56fd", "23.09461185", "113.28788994", "edu", "", "China", "2015"], ["RPIfield : A New Dataset for Temporally Evaluating Person Re-Identification \u2217", "", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute", "Rensselaer Polytechnic Institute, Sage Avenue, Downtown, City of Troy, Rensselaer County, New York, 12180, USA", "42.72984590", "-73.67950216", "edu", "", "United States", ""], ["MARS: A Video Benchmark for Large-Scale Person Re-Identification", "", "Tsinghua University", "Tsinghua University", "\u6e05\u534e\u5927\u5b66, 30, \u53cc\u6e05\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100084, \u4e2d\u56fd", "40.00229045", "116.32098908", "edu", "", "China", "2016"], ["Transfer for Person Re-identification", "", "Tencent", "Tencent", "1234 N Santa Monica Blvd, Beverly Hills, CA 90210, USA", "34.08038290", "-118.39099470", "company", "", "United States", "2017"], ["Person Reidentification Using Deep Convnets With Multitask Learning", "Institute of Electronics, Communications and Information Technology, Queen’s University Belfast, Belfast, U.K.", "Queen's University Belfast", "ECIT, Electrical Engineering & Computer Science, Queen's University 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Korea", "ETRI, Korea", "SW Content Research Laboratory, ETRI, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, S. 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Universit\u00e9 de Toulon, Avenue de l'Universit\u00e9, 83130 La Garde, France", "43.13643020", "6.01254200", "edu", "", "France", "2018"], ["Camera compensation using feature projection matrix for person re-identification", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2013"], ["Evaluating features for person re-identification", "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "PLA University of Science & Technology", "College of Command Information Systems, PLA University of Science & Technology, Nanjing, China", "China, \u53cc\u9f99\u885760\u53f7", "31.97090700", "118.81289890", "edu", "", "China", "2016"], ["Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks", "", "Computer Vision Laboratory, GIST, South Korea", "Computer Vision Laboratory, GIST, South Korea", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "South Korea", "2017"], ["Camera Compensation Using a Feature Projection Matrix for Person Reidentification", "School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing, China", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences", "University of Chinese Academy of Sciences, UCAS, Yuquanlu, \u7389\u6cc9\u8def, \u7530\u6751, \u6d77\u6dc0\u533a, 100049, \u4e2d\u56fd", "39.90828040", "116.24585270", "edu", "", "China", "2014"], ["YACCLAB - Yet Another Connected Components Labeling Benchmark", "Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy", "Universit\u00e0 degli Studi di Modena e Reggio Emilia, Italy", "Dipartimento di Ingegneria “Enzo Ferrari”, Università degli Studi di Modena e Reggio Emilia, 41125, Italy", "Via P. Vivarelli, 10, 41125 Modena MO, Italy", "44.62918470", "10.94879780", "edu", "", "Italy", "2016"], ["Wide-Area Video Understanding: Tracking, Video Summarization and Algorithm-Platform Co-Design", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Data-augmentation for reducing dataset bias in person re-identification", "Centre for Secure Information Technologies (CSIT), Queen's University Belfast, BT7 1NN, United Kingdom", "Queen's University Belfast", "ECIT, Electrical Engineering & Computer Science, Queen's University Belfast, Belfast, UK", "Queen's University of Belfast Northern Ireland Science Park, Queens Road, Queen's Island, Belfast BT3 9DT, UK", "54.61417230", "-5.90021510", "edu", "", "United Kingdom", "2015"], ["A loss combination based deep model for person re-identification", "Taizhou Research Institute, Zhejiang University, Taizhou, China", "Zhejiang University", "Zhejiang University", "\u6d59\u6c5f\u5927\u5b66\u4e4b\u6c5f\u6821\u533a, \u4e4b\u6c5f\u8def, \u8f6c\u5858\u8857\u9053, \u897f\u6e56\u533a (Xihu), \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310008, \u4e2d\u56fd", "30.19331415", "120.11930822", "edu", "", "China", "2017"], ["Occlusion detector using convolutional neural network for person re-identification", "School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea", "Gwangju Institute of Science and Technology", "Gwangju Institute of Science and Technology", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "", "2017"], ["Improving Person Re-identification via Pose-Aware Multi-shot Matching", "", "Computer Vision Laboratory, GIST, South Korea", "Computer Vision Laboratory, GIST, South Korea", "123 Cheomdangwagi-ro, Oryong-dong, Buk-gu, Kwangju, South Korea", "35.22652880", "126.83998700", "edu", "", "South Korea", "2016"], ["CMV100: A dataset for people tracking and re-identification in sparse camera networks", "Center for Machine Vision Research, University of Oulu", "University of Oulu", "University of Oulu", "Oulun yliopisto, Biologintie, Linnanmaa, Oulu, Oulun seutukunta, Pohjois-Pohjanmaa, Pohjois-Suomen aluehallintovirasto, Pohjois-Suomi, Manner-Suomi, 90540, Suomi", "65.05921570", "25.46632601", "edu", "", "Finland", "2012"], ["Co-training on multi-view unlabelled data", "Kingston University, London, United Kingdom", "Kingston University", "Kingston University", "Kingston University, Kingston Hill, Kingston Vale, Kingston-upon-Thames, London, Greater London, England, KT2 7TF, UK", "51.42930860", "-0.26840440", "edu", "", "United Kingdom", "2012"], ["MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification", "", "University of Wollongong", "University of Wollongong", "University of Wollongong, Admin Road, Keiraville, Wollongong, NSW, 2500, Australia", "-34.40505545", "150.87834655", "edu", "", "Australia", "2018"], ["Image and Graphics", "UNSW, Sydney, Australia", "UNSW", "UNSW, Sydney, Australia", "Sydney NSW 2052, Australia", "-33.91734700", "151.23126750", "edu", "", "Australia", "2017"], ["Scalable Metric Learning via Weighted Approximate Rank Component Analysis", "", "IDIAP Research Institute", "IDIAP Research Institute", "Idiap Research Institute, Parking Centre du parc, Martigny, Valais/Wallis, 1920, Schweiz/Suisse/Svizzera/Svizra", "46.10923700", "7.08453549", "edu", "", "Switzerland", "2016"], ["A Camera Network Tracking (CamNeT) Dataset and Performance Baseline", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Unsupervised Person Re-identification by Deep Learning Tracklet Association", "", "Queen Mary University of London", "Queen Mary University of London", "Queen Mary (University of London), Mile End Road, Globe Town, Mile End, London Borough of Tower Hamlets, London, Greater London, England, E1 4NS, UK", "51.52472720", "-0.03931035", "edu", "", "United Kingdom", "2018"]]}