{"id": "13f06b08f371ba8b5d31c3e288b4deb61335b462", "paper": {"paperId": "13f06b08f371ba8b5d31c3e288b4deb61335b462", "key": "eth_andreas_ess", "title": "Depth and Appearance for Mobile Scene Analysis", "journal": "2007 IEEE 11th International Conference on Computer Vision", "address": "ETH Zurich", "country": "Switzerland", "address_type": "edu", "lat": "47.37631300", "lng": "8.54766990", "pdf_link": "http://www.mmp.rwth-aachen.de/publications/pdf/ess-depthandappearance-iccv07-poster.pdf", "report_link": "papers/13f06b08f371ba8b5d31c3e288b4deb61335b462.html", "citation_count": 319, "citations_geocoded": 183, "citations_unknown": 136, "citations_empty": 27, "citations_pdf": 195, "citations_doi": 127, "name": "ETHZ Pedestrian"}, "address": ["ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland"], "citations": [["Partial Occlusion Handling in Pedestrian Detection With a Deep Model", "Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2016"], ["Contextual Combination of Appearance and Motion for Intersection Videos with Vehicles and Pedestrians", "", "University of Nevada", "University of Nevada", "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "39.54694490", "-119.81346566", "edu", "", "United States", "2014"], ["A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot", "TCS Research, Tata Consultancy Services, New Delhi, India", "TCS Research, Tata Consultancy Services, New Delhi, India", "TCS Research, Tata Consultancy Services, New Delhi, India", "3rd & 11th, 2nd to 4th and 11th floor Tower B & Tower C Building No. 6 Sector 24 & 25 A, DLF Cyber City, Gurugram, Haryana 122002, India", "28.49641530", "77.09661330", "edu", "", "India", "2017"], ["Distance Preserving Projection Space of Symmetric Positive Definite Manifolds", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2016"], ["Custom Pictorial Structures for Re-identification", "", "Istituto Italiano di Tecnologia", "Istituto Italiano di Tecnologia", "77 Massachusetts Ave, Cambridge, MA 02139, USA", "42.36009100", "-71.09416000", "edu", "", "United States", "2011"], ["Person Re-identification by Efficient Impostor-Based Metric Learning", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", "", "Austria", "2012"], ["Generalized Background Subtraction Using Superpixels with Label Integrated Motion Estimation", "", "Hanyang University", "Hanyang University", "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "37.55572710", "127.04366420", "edu", "", "South Korea", "2014"], ["LIDAR and vision based pedestrian detection and tracking system", "National University of Defense Technology, Changsha, Hunan Prov., China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "28.22902090", "112.99483204", "mil", "", "China", "2015"], ["Robust Stereo-Based Person Detection and Tracking for a Person Following Robot", "", "Toyohashi University of Technology", "Toyohashi University of Technology", "Hibarigaoka-1\u2212\uff11 Tenpakucho, Toyohashi, Aichi Prefecture 441-8580, Japan", "34.70175630", "137.40863460", "edu", "", "", "2009"], ["Camera and lidar fusion for pedestrian detection", "National University of Defense Technology, Changsha, Hunan", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "28.22902090", "112.99483204", "mil", "", "China", "2015"], ["Pedestrian Detection: An Evaluation of the State of the Art", "MPI Informatics, Saabrucken", "MPI Informatics, Saabrucken", "MPI Informatics, Saabrucken", "Campus E1 4, 66123, Stuhlsatzenhausweg, 66123 Saarbr\u00fccken, Germany", "49.25786570", "7.04579560", "edu", "", "Germany", "2012"], ["Person Re-Identification by Regularized Smoothing KISS Metric Learning", "School of Electronic and Information Engineering, South China University of Technology, GuangZhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2013"], ["Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", "", "United States", "2012"], ["Object Co-Detection via Efficient Inference in a Fully-Connected CRF", "", "NICTA", "NICTA", "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "42.00877410", "-87.89585490", "edu", "", "United States", "2014"], ["Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes", "WillowGarage, Menlo Park, CA, USA", "WillowGarage, Menlo Park, CA, USA", "WillowGarage, Menlo Park, CA, USA", "Menlo Park, CA, USA", "37.45295980", "-122.18172520", "company", "", "United States", "2011"], ["Weight-based sparse coding for multi-shot person re-identification", "State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2015"], ["Exploring Structural Information and Fusing Multiple Features for 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", "2013"], ["Random projections on manifolds of Symmetric Positive Definite matrices for image classification", "", "Queensland University of Technology", "Queensland University of Technology", "Queensland University of Technology, Macgregor Lane, Merthyr, South Brisbane, Brisbane, QLD, 4000, Australia", "-27.47715625", "153.02841004", "edu", "", "Australia", "2014"], ["Occlusion-Aware R-CNN: Detecting Pedestrians in a Crowd", "", "Macau University of Science and Technology", "Macau University of Science and Technology", "Universidade de Ci\u00eancia e Tecnologia de Macau \u6fb3\u9580\u79d1\u6280\u5927\u5b78 Macau University of Science and Technology, \u5049\u9f8d\u99ac\u8def Avenida Wai Long, \u6c39\u4ed4Taipa, \u6c39\u4ed4\u820a\u57ce\u5340 Vila de Taipa, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, \u6fb3\u9580 Macau, 853, \u4e2d\u56fd", "22.15263985", "113.56803206", "edu", "", "China", "2018"], ["SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection", "", "Shanghai, China", "Shanghai, China", "Shanghai, China", "31.23039040", "121.47370210", "edu", "", "", "2016"], ["Improving Multi-frame Data Association with Sparse Representations for Robust Near-online Multi-object Tracking", "", "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "CNRS, LAAS, 7, Avenue du Colonel Roche, F-31400 Toulouse, France", "7 Avenue du Colonel Roche, 31400 Toulouse, France", "43.56334270", "1.47686950", "edu", "", "France", "2016"], ["Mahalanobis Distance Learning for Person Re-identification", "", "Austrian Institute of Technology, Austria", "Austrian Institute of Technology, Austria", "2444 Seibersdorf, Austria", "47.97772440", "16.50834750", "edu", "", "Austria", "2014"], ["Collaborative Sparse Approximation for Multiple-Shot Across-Camera Person Re-identification", "", "Omron Corporation", "Omron corporation", "3709 Ohio Ave, St. Charles, IL 60174, USA", "41.91256730", "-88.26993760", "company", "", "United States", "2012"], ["CoDeL: A Human Co-detection and Labeling Framework", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2013"], ["Group tracking: exploring mutual relations for multiple object tracking", "", "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", "2012"], ["Riemannian Set-level Common-Near-Neighbor Analysis for Multiple-shot Person Re-identification", "", "Kyoto University", "Kyoto University", "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "35.02749960", "135.78154513", "edu", "", "Japan", "2013"], ["Multiple-Person Tracking for a Mobile Robot Using Stereo", "", "Toyohashi University of Technology", "Toyohashi University of Technology", "Hibarigaoka-1\u2212\uff11 Tenpakucho, Toyohashi, Aichi Prefecture 441-8580, Japan", "34.70175630", "137.40863460", "edu", "", "", "2009"], ["Fast obstacle detection using targeted optical flow", "", "Carleton University", "Carleton University", "Carleton University, 1125, Colonel By Drive, Billings Bridge, Capital, Ottawa, Ontario, K1S 5B7, Canada", "45.38608430", "-75.69539267", "edu", "", "Canada", "2012"], ["People detection in crowded scenes by context-driven label propagation", "", "Rutgers University", "Rutgers University", "Rutgers Cook Campus - North, Biel Road, New Brunswick, Middlesex County, New Jersey, 08901, USA", "40.47913175", "-74.43168868", "edu", "", "United States", "2016"], ["Reidentification by Relative Distance Comparison", "Sun Yat-sen University, Guangzhou", "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", "2013"], ["Person Re-identification by encoding free energy feature maps", "School of Information Science and Engineering, Shandong University, Jinan, China", "Shandong University", "Shandong University", "\u5c71\u4e1c\u5927\u5b66, \u6cf0\u5b89\u8857, \u9ccc\u5c71\u536b\u8857\u9053, \u5373\u58a8\u533a, \u9752\u5c9b\u5e02, \u5c71\u4e1c\u7701, 266200, \u4e2d\u56fd", "36.36934730", "120.67381800", "edu", "", "China", "2015"], ["UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring", "University of Washington, USA", "University of Washington", "University of Washington", "University of Washington, Rainier Vista, Montlake, University District, Seattle, King County, Washington, 98195, USA", "47.65432380", "-122.30800894", "edu", "", "United States", "2017"], ["A Fast Stereo-based System for Detecting and Tracking Pedestrians from a Moving Vehicle", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2009"], ["Temporal integration for on-board stereo-based pedestrian detection", "Corporate Research & Development Center, TOSHIBA Corporation, Japan", "Toshiba", "Corp. Res. & Dev. Center, Toshiba Corp., Kawasaki, Japan", "Japan, \u3012212-8582 Kanagawa Prefecture, Kawasaki, Saiwai Ward, \u5c0f\u5411\u6771\u829d\u753a1", "35.54931130", "139.69201440", "company", "", "Japan", "2009"], ["Vision-based pedestrian monitoring at intersections including behavior & crossing count", "Electrical and Computer Engineering Department, University of Nevada, Las Vegas, 89154, USA", "University of Nevada", "University of Nevada", "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "39.54694490", "-119.81346566", "edu", "", "United States", "2016"], ["Online Multiple targets Detection and Tracking from Mobile robot in Cluttered indoor Environments with Depth Camera", "", "Temple University", "Temple University", "Temple University School of Podiatric Medicine, Race Street, Chinatown, Philadelphia, Philadelphia County, Pennsylvania, 19103, USA", "39.95472495", "-75.15346905", "edu", "", "United States", "2014"], ["Global data association for multi-object tracking using network flows", "University of Southern California, Institute of Robotics and Intelligent Systems, USA", "University of Southern California", "University of Southern California", "University of Southern California, Watt Way, Saint James Park, LA, Los Angeles County, California, 90089, USA", "34.02241490", "-118.28634407", "edu", "", "United States", "2008"], ["A Combined Voxel and Particle Filter-Based Approach for Fast Obstacle Detection and Tracking in Automotive Applications", "Departamento de Ingenier\u00eda Inform\u00e1tica, University of La Laguna, Santa Cruz de Tenerife, Spain", "University of La Laguna", "Departamento de Ingenier\u00eda Inform\u00e1tica, University of La Laguna, Santa Cruz de Tenerife, Spain", "Calle Padre Herrera, s/n, 38200 San Crist\u00f3bal de La Laguna, Santa Cruz de Tenerife, Spain", "28.48109410", "-16.31584430", "edu", "", "Spain", "2017"], ["Semi-Online Multiple Object Tracking Using Graphical Tracklet Association", "Jiangsu Department of Water Resources, Nanjing, China", "National University of Defense Technology, China", "National University of Defence Technology, Changsha 410000, China", "\u56fd\u9632\u79d1\u5b66\u6280\u672f\u5927\u5b66, \u4e09\u4e00\u5927\u9053, \u5f00\u798f\u533a, \u5f00\u798f\u533a (Kaifu), \u957f\u6c99\u5e02 / Changsha, \u6e56\u5357\u7701, 410073, \u4e2d\u56fd", "28.22902090", "112.99483204", "mil", "", "China", "2018"], ["Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures", "", "University of Queensland", "University of Queensland", "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "-27.49741805", "153.01316956", "edu", "", "Australia", "2012"], ["Random Forests of Local Experts for Pedestrian Detection", "", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2013"], ["Recognizing objects from their incomplete representation: A survey", "Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH", "Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH", "Center of assistive Research Technologies (CART), Engr. College, WSU, Dayton, OH", "3640 Colonel Glenn Hwy, Dayton, OH 45435, USA", "39.78461570", "-84.05832810", "edu", "", "United States", "2016"], ["Single-Pedestrian Detection Aided by Multi-pedestrian Detection", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2013"], ["Improved Multi-Person Tracking with Active Occlusion Handling", "", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2009"], ["Physical Models of Human Motion for Estimation and Scene Analysis", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2011"], ["Multi-object tracking by expanding long-tracklets", "Dept. of Automation, Tsinghua University, 100084, Beijing, China", "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", "2015"], ["Multi-cue onboard pedestrian detection", "", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2009"], ["Locality based discriminative measure for multiple-shot person re-identification", "Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan", "Kyoto University", "Kyoto University", "\u4eac\u90fd\u5927\u5b66, \u4eca\u51fa\u5ddd\u901a, \u5409\u7530\u6cc9\u6bbf\u753a, \u5de6\u4eac\u533a, \u4eac\u90fd\u5e02, \u4eac\u90fd\u5e9c, \u8fd1\u757f\u5730\u65b9, 606-8501, \u65e5\u672c", "35.02749960", "135.78154513", "edu", "", "Japan", "2013"], ["Re-identification of pedestrians with variable occlusion and scale", "Digital Imaging Research Centre, Kingston University, U.K.", "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", "2011"], ["Online learning on incremental distance metric for person re-identification", "Engineering Lab on Intelligent Perception for Internet of Things(ELIP), and the Key Laboratory of Machine Perception, Peking University, Beijing, 100087 China", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2014"], ["Robust Multiperson Tracking from a Mobile Platform", "TU Darmstadt, Germany", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2009"], ["Representations and Techniques for 3D Object Recognition and Scene Interpretation", "", "University of Michigan", "University of Michigan", "University of Michigan, 500, Hayward Street, Ann Arbor, Washtenaw County, Michigan, 48109, USA", "42.29421420", "-83.71003894", "edu", "", "United States", "2011"], ["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"], ["Person Reidentification by Minimum Classification Error-Based KISS Metric Learning", "School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2015"], ["Quaternion-Michelson Descriptor for Color Image Classification", "Department of Computer and Information Science, University of Macau, Macau, China", "University of Macau", "University of Macau", "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "22.12401870", "113.54510901", "edu", "", "China", "2016"], ["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"], ["Robust Multiperson Detection and Tracking for Mobile Service and Social Robots", "Institute for Infocomm Research, Singapore", "Institute for Infocomm Research, Singapore", "Institute for Infocomm Research, Singapore", "1 Fusionopolis Way, #21-01 Connexis, Singapore 138632", "1.29889260", "103.78731070", "edu", "", "", "2012"], ["A Database for Person Re-Identification in Multi-Camera Surveillance Networks", "", "Disney Research Pittsburgh", "Disney Research Pittsburgh", "4720 Forbes Ave, Pittsburgh, PA 15213, USA", "40.44397890", "-79.94646340", "edu", "", "United States", "2012"], ["Pedestrian detection: A benchmark", "", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2009"], ["Efficient Stixel-based object recognition", "Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany", "Environment Perception Group, Daimler AG", "Environment Perception Group, Daimler AG Group Research & Advanced Engineering, 71059 Sindelfingen, Germany", "Sindelfingen, Germany", "48.70745580", "9.00440530", "company", "", "Germany", "2012"], ["A Novel Pedestrian Detection Method Based on Combination of LBP, HOG, and Haar-Like Features", "Amirkabir University of Technology, Department of Computer Engineering, Tehran, Iran", "Amirkabir University of Technology", "Amirkabir University of Technology", "\u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0635\u0646\u0639\u062a\u06cc \u0627\u0645\u06cc\u0631\u06a9\u0628\u06cc\u0631, \u0648\u0644\u06cc \u0639\u0635\u0631, \u0645\u06cc\u062f\u0627\u0646 \u0648\u0644\u06cc\u0639\u0635\u0631, \u0645\u0646\u0637\u0642\u0647 \u06f6 \u0634\u0647\u0631 \u062a\u0647\u0631\u0627\u0646, \u062a\u0647\u0631\u0627\u0646, \u0628\u062e\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0634\u0647\u0631\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0627\u0633\u062a\u0627\u0646 \u062a\u0647\u0631\u0627\u0646, \u0646\u0628\u0634 \u0628\u0631\u0627\u062f\u0631\u0627\u0646 \u0645\u0638\u0641\u0631, \u200f\u0627\u06cc\u0631\u0627\u0646\u200e", "35.70451400", "51.40972058", "edu", "", "Iran", "2018"], ["Kernelized View Adaptive Subspace Learning for Person Re-identification", "", "Carnegie Mellon University Silicon Valley", "CARNEGIE MELLON UNIVERSITY", "Carnegie Mellon University Silicon Valley, South Akron Road, ARC, Santa Clara County, California, 94035-0016, USA", "37.41021930", "-122.05965487", "edu", "", "United States", "2015"], ["Manifold convex hull (MACH): Satisfying a need for SPD", "School of ITEE, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia", "University of Queensland", "University of Queensland", "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "-27.49741805", "153.01316956", "edu", "", "Australia", "2016"], ["Relaxed pairwise learned metric for person re-identification", "", "Graz University of Technology", "Graz University of Technology", "TU Graz, Inffeldgasse, Harmsdorf, Jakomini, Graz, Steiermark, 8010, \u00d6sterreich", "47.05821000", "15.46019568", "edu", "", "Austria", "2012"], ["Approximation of feature pyramids in the DCT domain and its application to pedestrian detection", "Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec, Canada H3G 1M8", "Concordia University", "Concordia University", "Concordia University, 2811, Northeast Holman Street, Concordia, Portland, Multnomah County, Oregon, 97211, USA", "45.57022705", "-122.63709346", "edu", "", "United States", "2016"], ["Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification", "State Key Laboratory of Software Engineering, School of Computer, Wuhan University", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2016"], ["WILDTRACK : A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection", "", "ETH Zurich", "ETH Zurich", "R\u00e4mistrasse 101, 8092 Z\u00fcrich, Switzerland", "47.37631300", "8.54766990", "edu", "", "Switzerland", "2018"], ["Early Detection of Sudden Pedestrian Crossing for Safe Driving During Summer Nights", "Computer Vision and Pattern Recognition Laboratory, Keimyung University, Daegu, South Korea", "Keimyung University", "Keimyung University, Daegu, Korea", "South Korea, Daegu, Dalseo-gu, Dalgubeol-daero, 1095", "35.85505250", "128.48712690", "edu", "", "South Korea", "2017"], ["Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection", "VIVA Research Laboratory, School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada", "University of Ottawa", "University of Ottawa", "University of Ottawa, 1, Stewart Street, Byward Market, Lowertown, Rideau-Vanier, Ottawa, Ontario, K1N 6N5, Canada", "45.42580475", "-75.68740118", "edu", "", "Canada", "2018"], ["Person Reidentification Using Attribute-Restricted Projection Metric Learning", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "Zhengzhou, Henan, China", "34.74661100", "113.62532800", "edu", "", "China", "2018"], ["Looking at People Using Partial Least Squares", "", "University of Maryland College Park", "University of Maryland College Park", "University of Maryland, College Park, Farm Drive, Acredale, College Park, Prince George's County, Maryland, 20742, USA", "38.99203005", "-76.94610290", "edu", "", "United States", "2010"], ["A person re-identification algorithm based on color topology", "Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2014"], ["PKU-NEC @ TRECVid 2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video", "", "Peking University", "Peking University", "\u5317\u4eac\u5927\u5b66, 5\u53f7, \u9890\u548c\u56ed\u8def, \u7a3b\u9999\u56ed\u5357\u793e\u533a, \u6d77\u6dc0\u533a, \u5317\u4eac\u5e02, 100871, \u4e2d\u56fd", "39.99223790", "116.30393816", "edu", "", "China", "2012"], ["2D-3D-based on-board pedestrian detection system", "", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2010"], ["High-Level Fusion of Depth and Intensity for Pedestrian Classification", "", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2009"], ["Active learning for person re-identification", "Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2012"], ["UNIVERSITY OF CALIFORNIA RIVERSIDE Active Learning in Multi-Camera Networks, With Applications in Person Re-Identification A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Electrical Engineering by", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2015"], ["Local response context applied to pedestrian detection", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2011"], ["A cascade framework for unoccluded and occluded pedestrian detection", "Dept. of Electronics Engineering Indian Institute of Technology (BHU), Varanasi", "Varanasi", "Varanasi", "Varanasi, Uttar Pradesh, India", "25.31764520", "82.97391440", "edu", "", "India", "2014"], ["UA-DETRAC 2017 : Report of AVSS 2017 & IT 4 S Challenge on Advance Traffic Monitoring", "", "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", "2017"], ["A discriminative deep model for pedestrian detection with occlusion handling", "Department of Electronic Engineering, The Chinese University of Hong Kong", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2012"], ["Human detection using partial least squares analysis", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2009"], ["EVALUATION OF PENALTY FUNCTIONS FOR SEMI-GLOBAL MATCHING COST AGGREGATION", "", "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "Leibniz Universit\u00e4t Hannover, Hannover, Germany", "Welfengarten 1, 30167 Hannover, Germany", "52.38296410", "9.71969890", "edu", "", "Germany", "2012"], ["Gradient Response Maps for Real-Time Detection of Textureless Objects", "Technische Universitat Muenchen, Garching bie Muenchen", "Technische Universitat Muenchen", "Technische Universitat Muenchen, Garching bie Muenchen", "Boltzmannstra\u00dfe 15, 85748 Garching bei M\u00fcnchen, Germany", "48.26480530", "11.66886010", "edu", "", "Germany", "2012"], ["Ensemble Learning-Based Person Re-identification with Multiple Feature Representations", "", "Yunnan University", "Yunnan University", "\u4e91\u5357\u5927\u5b66, \u4e00\u4e8c\u4e00\u5927\u8857, \u5fd7\u57ce\u5bb6\u56ed, \u4e94\u534e\u533a, \u4e94\u534e\u533a (Wuhua), \u6606\u660e\u5e02 (Kunming), \u4e91\u5357\u7701, 650030, \u4e2d\u56fd", "25.05703205", "102.70027525", "edu", "", "China", "2018"], ["Joint Deep Learning for Pedestrian Detection", "", "Chinese University of Hong Kong", "Chinese University of Hong Kong", "Hong Kong, \u99ac\u6599\u6c34\u6c60\u65c1\u8def", "22.41626320", "114.21093180", "edu", "", "China", "2013"], ["SOT for MOT", "", "Beijing, China", "Beijing, China", "Beijing, China", "39.90419990", "116.40739630", "edu", "", "China", "2017"], ["Partially occluded object detection by finding the visible features and parts", "Purdue University", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2015"], ["Are we ready for autonomous driving? The KITTI vision benchmark suite", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "Toyota Technological Institute at Chicago", "6045 S Kenwood Ave, Chicago, IL 60637, USA", "41.78469820", "-87.59258480", "company", "", "United States", "2012"], ["Generic Motion based Object Segmentation for Assisted Navigation", "", "University of Bristol", "University of Bristol", "Victoria Rooms, Whiteladies Road, Cliftonwood, Spike Island, Bristol, City of Bristol, South West England, England, BS8 2PY, UK", "51.45848370", "-2.60977520", "edu", "", "United Kingdom", "2009"], ["Safe trajectory estimation at a pedestrian crossing to assist visually impaired people", "School of Computer Science and Information Technology, RMIT University, Melbourne, Australia", "RMIT University", "RMIT University", "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "-37.80874650", "144.96388750", "edu", "", "Australia", "2012"], ["Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection", "", "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", "2010"], ["Dense disparity map-based pedestrian detection for intelligent vehicle", "IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea", "IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology", "IoT and Robotics Convergence Research Division, Daegu Gyeongbuk Institute of Science & Technology (DGIST) Daegu, Republic of Korea", "South Korea, Daegu, Dalseong-gun, Yuga-myeon, \ud14c\ud06c\ub178\uc911\uc559\ub300\ub85c 333", "35.70528600", "128.45710200", "edu", "", "South Korea", "2016"], ["A Unsupervised Person Re-identification Method Using Model Based Representation and Ranking", "Wuhan University, Wuhan, China", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2015"], ["Relational divergence based classification on Riemannian manifolds", "", "University of Queensland", "University of Queensland", "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "-27.49741805", "153.01316956", "edu", "", "Australia", "2013"], ["Validation and benchmarking for pedestrian video detection based on a sensors simulation platform", "LIVIC (INRETS/LCPC), 14 route de la mini\u00e8re, building 824, 78000 Versailles - Satory, France", "LIVIC, Versailles, France", "LIVIC (INRETS/LCPC), 14 route de la mini\u00e8re, building 824, 78000 Versailles - Satory, France", "building 824, 14 Route de la Mini\u00e8re, 78000 Versailles, France", "48.78243000", "2.10191900", "edu", "", "France", "2010"], ["A fast stereo-based multi-person tracking using an approximated likelihood map for overlapping silhouette templates", "", "Toyohashi University of Technology", "Toyohashi University of Technology", "Hibarigaoka-1\u2212\uff11 Tenpakucho, Toyohashi, Aichi Prefecture 441-8580, Japan", "34.70175630", "137.40863460", "edu", "", "", "2011"], ["Multiple-shot human re-identification by Mean Riemannian Covariance Grid", "INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France", "INRIA Sophia Antipolis, Cedex, France", "INRIA Sophia Antipolis, PULSAR group, 2004, route des Lucioles, BP93, 06902 Cedex - France", "2004 Route des Lucioles, 06902 Valbonne, France", "43.61581310", "7.06838000", "edu", "", "France", "2011"], ["Estimating contact dynamics", "", "University of Toronto", "University of Toronto", "University of Toronto, St. George Street, Bloor Street Culture Corridor, Old Toronto, Toronto, Ontario, M5S 1A5, Canada", "43.66333345", "-79.39769975", "edu", "", "Canada", "2009"], ["Closing the loop in scene interpretation", "Robotics Institute, Carnegie Mellon University, USA", "Robotics Institute", "Robotics Institute", "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "13.65450525", "100.49423171", "edu", "", "Thailand", "2008"], ["Globally-optimal greedy algorithms for tracking a variable number of objects", "", "University of California", "University of California", "Berkeley, CA, USA", "37.87189920", "-122.25853990", "edu", "", "United States", "2011"], ["Stereo-based Pedestrian Detection using Multiple Patterns", "", "Toshiba Corporation, Japan", "Toshiba Corporation, Japan", "3420 22nd St, Sioux City, IA 51105, USA", "42.51288220", "-96.36445080", "edu", "", "United States", "2009"], ["Discriminative Multiple Target Tracking", "", "University of Missouri", "University of Missouri", "L1, Maguire Boulevard, Lemone Industrial Park, Columbia, Boone County, Missouri, 65201, USA", "38.92676100", "-92.29193783", "edu", "", "United States", "2011"], ["Visual Object Recognition", "", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"], ["Deep feature extraction in the DCT domain", "Center for Automation Research, University of Maryland, College Park, 20742, United States of America", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2016"], ["Convex Class Model on Symmetric Positive Definite Manifolds", "", "University of Queensland", "University of Queensland", "University of Queensland, University Drive, Hill End, St Lucia, Brisbane, QLD, 4072, Australia", "-27.49741805", "153.01316956", "edu", "", "Australia", "2018"], ["Post Processing Pedestrian Detection with Background Cues", "", "Simon Fraser University", "Simon Fraser University", "SFU Burnaby, South Campus Road, Barnet, Burnaby, Metro Vancouver, British Columbia, V5A 4X6, Canada", "49.27674540", "-122.91777375", "edu", "", "Canada", "2008"], ["People re-identification using two-stage transfer metric learning", "Graduate Shcool of Information Science, Nagoya University, Japan", "Nagoya University", "Nagoya University", "SuperDARN (Hokkaido West), \u592a\u8f9b\u7b2c1\u652f\u7dda\u6797\u9053, \u9678\u5225\u753a, \u8db3\u5bc4\u90e1, \u5341\u52dd\u7dcf\u5408\u632f\u8208\u5c40, \u5317\u6d77\u9053, \u5317\u6d77\u9053\u5730\u65b9, \u65e5\u672c", "43.53750985", "143.60768225", "edu", "", "Japan", "2015"], ["Part-Based RDF for Direction Classification of Pedestrians, and a Benchmark", "", "University of Auckland", "University of Auckland", "Auckland 1010, New Zealand", "-36.85233780", "174.76910730", "edu", "", "", "2014"], ["Onboard monocular pedestrian detection by combining spatio-temporal hog with structure from motion algorithm", "The State Key Lab of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China", "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"], ["Real-time running detection from a moving camera", "Key Laboratory of E&M (Zhejiang University of Technology), Ministry of Education, China", "Zhejiang University of Technology", "Zhejiang University of Technology", "\u6d59\u6c5f\u5de5\u4e1a\u5927\u5b66, \u6f6e\u738b\u8def, \u671d\u6656\u8857\u9053, \u676d\u5dde\u5e02 Hangzhou, \u6d59\u6c5f\u7701, 310014, \u4e2d\u56fd", "30.29315340", "120.16204580", "edu", "", "China", "2016"], ["Switchable Deep Network for Pedestrian Detection", "", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2014"], ["Human Re-Identification", "Siemens Corporate Research, Plainsboro, USA", "Siemens Corporate Research, Plainsboro, USA", "Siemens Corporate Research, Plainsboro, USA", "755 College Rd E, Princeton, NJ 08540, USA", "40.34420790", "-74.59245990", "company", "", "United States", "2016"], ["Quaternionic Local Ranking Binary Pattern: A Local Descriptor of Color Images", "Department of Computer and Information Science, University of Macau, Macau, China", "University of Macau", "University of Macau", "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "22.12401870", "113.54510901", "edu", "", "China", "2016"], ["Quaternionic Weber Local Descriptor of Color Images", "Department of Computer and Information Science, University of Macau, Macau, China", "University of Macau", "University of Macau", "\u7814\u7a76\u751f\u5bbf\u820d Resid\u00eancia de Estudantes de P\u00f3s-Gradua\u00e7\u00e3o da Universidade de Macau, \u6fb3\u9580\u5927\u5b78 Universidade de Macau, \u5609\u6a21\u5802\u5340 Nossa Senhora do Carmo, \u6c39\u4ed4 Taipa, Universidade de Macau em Ilha de Montanha \u6fb3\u9580\u5927\u5b78\u6a6b\u7434\u6821\u5340, \u4e2d\u56fd", "22.12401870", "113.54510901", "edu", "", "China", "2017"], ["Human identification using body prior and generalized EMD", "Institute of Image Communication and Information Processing, Shanghai Key Labs of Digital Media Processing and Communication, Shanghai Jiao Tong University, Shanghai 200240, China", "Shanghai Jiao Tong University", "Shanghai Jiao Tong University", "\u4e0a\u6d77\u4ea4\u901a\u5927\u5b66\uff08\u5f90\u6c47\u6821\u533a\uff09, \u6dee\u6d77\u897f\u8def, \u756a\u79ba\u5c0f\u533a, \u5e73\u9634\u6865, \u5f90\u6c47\u533a, \u4e0a\u6d77\u5e02, 200052, \u4e2d\u56fd", "31.20081505", "121.42840681", "edu", "", "China", "2011"], ["A pedestrian detection system based on binocular stereo", "School of Electronic Information Engineering, Tianjin University, Tianjin, China", "Tianjin University", "Tianjin University", "\u6cf0\u5c71\u822a\u7a7a\u6e2f/\u5929\u6d25\u5927\u53a6, \u67a3\u884c\u8def, \u67a3\u884c \u9ad8\u738b\u5bfa, \u957f\u57ce\u8def, \u5927\u6cb3, \u5cb1\u5cb3\u533a (Daiyue), \u6cf0\u5b89\u5e02, \u5c71\u4e1c\u7701, 271000, \u4e2d\u56fd", "36.20304395", "117.05842113", "edu", "", "China", "2012"], ["Fast Object Detection Using Multistage Particle Window Deformable Part Model", "", "National Chung Cheng University", "National Chung Cheng University", "\u570b\u7acb\u4e2d\u6b63\u5927\u5b78, 168, \u9cf3\u51f0\u5927\u9053, \u6c11\u96c4\u9109, \u5609\u7fa9\u7e23, 62102, \u81fa\u7063", "23.56306355", "120.47510531", "edu", "", "Taiwan", "2014"], ["A structural filter approach to human detection", "", "OMRON Corporation, Kyoto, Japan", "Core Technology Center, OMRON Corporation, Kyoto, Japan", "Kyoto, Kyoto Prefecture, Japan", "35.01163630", "135.76802940", "company", "", "Japan", "2010"], ["Transfer re-identification: From person to set-based verification", "", "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", "2012"], ["Vision-Based Intersection Monitoring : Behavior Analysis & Safety Issues", "", "University of Nevada", "University of Nevada", "Orange 1, Evans Avenue, Reno, Washoe County, Nevada, 89557, USA", "39.54694490", "-119.81346566", "edu", "", "United States", "2017"], ["Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification", "", "Dartmouth College", "Dartmouth College", "Dartmouth College, Tuck Mall, Hanover, Grafton County, New Hampshire, 03755, USA", "43.70479270", "-72.29259090", "edu", "", "United States", "2016"], ["DETRAC: A New Benchmark and Protocol for Multi-Object Tracking", "", "Hanyang University", "Hanyang University", "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "37.55572710", "127.04366420", "edu", "", "South Korea", "2015"], ["Pedestrian detection via multi-scale feature fusion convolutional neural network", "Department of Automation, University of Science and Technology of China, Anhui Hefei 230027, P. R. China", "University of Science and Technology of China", "University of Science and Technology of China", "\u4e2d\u56fd\u79d1\u5b66\u6280\u672f\u5927\u5b66 \u4e1c\u6821\u533a, 96\u53f7, \u91d1\u5be8\u8def, \u6c5f\u6dee\u5316\u80a5\u5382\u5c0f\u533a, \u829c\u6e56\u8def\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230026, \u4e2d\u56fd", "31.83907195", "117.26420748", "edu", "", "China", "2017"], ["Set-based classification for person re-identification utilizing mutual-information", "University of Chinese Academy of Sciences, Beijing 100049, 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"], ["A novel SURF-based algorithm for tracking a \u2018Human\u2019 in a dynamic environment", "Innovation Lab, Tata Consultancy Services, New Delhi, India 201301", "Indian Institute of Technology Kanpur", "Indian Institute of Technology Kanpur", "Indian Institute of Technology Kanpur, 4th Avenue, Panki, Kanpur, Kanpur Nagar, Uttar Pradesh, 208016, India", "26.51318800", "80.23651945", "edu", "", "India", "2014"], ["Person re-identification via person DPM based partition", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "National Digital Switching System Engineering and Technological Research and Development Center, Zhengzhou, China", "Zhengzhou, Henan, China", "34.74661100", "113.62532800", "edu", "", "China", "2016"], ["Robust object tracking based on RGB-D camera", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2014"], ["Recent advances on multicue object tracking: a survey", "Department of Electronics and Communication, Delhi Technological University (Formerly DCE), Delhi, India", "Defense Research and Development Organization, Ministry of Defense, Delhi, India", "Defense Research and Development Organization, Ministry of Defense, Delhi, India", "Metcalfe House, P and T Colony, P&T Colony, Civil Lines, New Delhi, Delhi 110054, India", "28.68378050", "77.22690230", "mil", "", "India", "2015"], ["Open-world Person Re-Identification by Multi-Label Assignment Inference", "", "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", "2014"], ["Multi-stage Contextual Deep Learning for Pedestrian Detection", "", "Hong Kong", "Hong Kong", "Hong Kong", "22.39642800", "114.10949700", "edu", "", "China", "2013"], ["Hyper-parameter optimization tools comparison for multiple object tracking applications", "LAAS-CNRS, Toulouse, France", "LAAS-CNRS, Toulouse, France", "LAAS-CNRS, Toulouse, France", "7 Avenue du Colonel Roche, 31400 Toulouse, France", "43.56334270", "1.47686950", "edu", "", "France", "2018"], ["Incremental Domain Adaptation of Deformable Part-based Models", "", "Universitat Aut\u00f2noma de Barcelona", "Universitat Aut\u00f2noma de Barcelona", "Centre de Visi\u00f3 per Computador (CVC), Carrer de l'Albareda, Serraperera, UAB, Cerdanyola del Vall\u00e8s, Vall\u00e8s Occidental, BCN, CAT, 08214, Espa\u00f1a", "41.50078110", "2.11143663", "edu", "", "Spain", "2014"], ["Isotropic Granularity-tunable gradients partition (IGGP) descriptors for human detection", "", "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", "2010"], ["Optimizing Mean Reciprocal Rank for person re-identification", "", "Omron Corporation", "Omron corporation", "3709 Ohio Ave, St. Charles, IL 60174, USA", "41.91256730", "-88.26993760", "company", "", "United States", "2011"], ["Learning an Image-Based Motion Context for Multiple People Tracking", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2014"], ["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"], ["Active learning with re-sampling for support vector machine in person re-identification", "Machine Learning and Cybernetics Research Center, School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China", "South China University of Technology", "South China University of Technology", "\u534e\u5357\u7406\u5de5\u5927\u5b66, \u5927\u5b66\u57ce\u4e2d\u73af\u4e1c\u8def, \u5e7f\u5dde\u5927\u5b66\u57ce, \u65b0\u9020, \u756a\u79ba\u533a (Panyu), \u5e7f\u5dde\u5e02, \u5e7f\u4e1c\u7701, 510006, \u4e2d\u56fd", "23.05020420", "113.39880323", "edu", "", "China", "2013"], ["Person re-identification by symmetry-driven accumulation of local features", "Dipartimento di Informatica, University of Verona, Italy", "University of Verona", "University of Verona", "Via S. Francesco, 22, 37129 Verona VR, Italy", "45.43739800", "11.00337600", "edu", "", "Italy", "2010"], ["Pedestrian detection based on multi-vision features fusion", "College of Computer Science and Electronic Engineering, Hunan University, Changsha Hunan, P. R. China", "Hunan University", "Hunan University", "Yejin University for Employees, \u51b6\u91d1\u897f\u8def, \u548c\u5e73\u4e61, \u73e0\u6656\u533a, \u8861\u9633\u5e02 / Hengyang, \u6e56\u5357\u7701, \u4e2d\u56fd", "26.88111275", "112.62850666", "edu", "", "China", "2016"], ["G2P: A new descriptor for pedestrian detection", "Robotics Institute, Shanghai Jiao Tong University, Shanghai, China", "Robotics Institute", "Robotics Institute", "Institute for Field Robotics, \u0e1b\u0e23\u0e30\u0e0a\u0e32\u0e2d\u0e38\u0e17\u0e34\u0e28, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, \u0e40\u0e02\u0e15\u0e23\u0e32\u0e29\u0e0e\u0e23\u0e4c\u0e1a\u0e39\u0e23\u0e13\u0e30, \u0e01\u0e23\u0e38\u0e07\u0e40\u0e17\u0e1e\u0e21\u0e2b\u0e32\u0e19\u0e04\u0e23, 10140, \u0e1b\u0e23\u0e30\u0e40\u0e17\u0e28\u0e44\u0e17\u0e22", "13.65450525", "100.49423171", "edu", "", "Thailand", "2017"], ["A mobile vision system for robust multi-person tracking", "ETH Zurich, Switzerland", "ETH Z\u00fcrich", "ETH Z\u00fcrich", "ETH Z\u00fcrich, 101, R\u00e4mistrasse, Hochschulen, Altstadt, Z\u00fcrich, Bezirk Z\u00fcrich, Z\u00fcrich, 8092, Schweiz/Suisse/Svizzera/Svizra", "47.37645340", "8.54770931", "edu", "", "Switzerland", "2008"], ["Robust Object Co-detection", "", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", "", "United States", "2013"], ["Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance", "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "Volvo Construction Equipment, G\u00f6thenburg, Sweden", "Gropeg\u00e5rdsgatan 11, 417 15 G\u00f6teborg, Sweden", "57.71720040", "11.92185580", "company", "", "Sweden", "2018"], ["Looking at Humans in the Age of Self-Driving and Highly Automated Vehicles", "Laboratory for Intelligent and Safe Automobiles, University of California San Diego, San Diego, CA, USA", "University of California, San Diego", "University of California, San Diego", "UCSD, 9500, Gilman Drive, Sixth College, University City, San Diego, San Diego County, California, 92093, USA", "32.87935255", "-117.23110049", "edu", "", "United States", "2016"], ["Visual Object Tracking Based on Backward Model Validation", "School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2014"], ["Bur\u00e7in Buket O\u011ful in partial fulfillment of the requirements for the degree of Master of Science in Information Systems , Middle East Technical", "", "Middle East Technical University", "Middle East Technical University", "ODT\u00dc, 1, 1591.sk(315.sk), \u00c7i\u011fdem Mahallesi, Ankara, \u00c7ankaya, Ankara, \u0130\u00e7 Anadolu B\u00f6lgesi, 06800, T\u00fcrkiye", "39.87549675", "32.78553506", "edu", "", "Turkey", "2013"], ["Optimized Kernel-based Projection Space of Riemannian Manifolds", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2016"], ["Regularized Bayesian Metric Learning for Person Re-identification", "", "Chongqing University", "Chongqing University", "\u91cd\u5e86\u5de5\u5546\u5927\u5b66, 19, \u7fe0\u6797\u8def, \u91cd\u5e86\u5e02, \u91cd\u5e86\u5e02\u4e2d\u5fc3, \u5357\u5cb8\u533a (Nan'an), \u91cd\u5e86\u5e02, 400067, \u4e2d\u56fd", "29.50841740", "106.57858552", "edu", "", "China", "2014"], ["Pedestrian detection aided by deep learning semantic tasks", "", "Shenzhen Institutes of Advanced Technology", "Shenzhen Institutes of Advanced Technology", "\u4e2d\u56fd\u79d1\u5b66\u9662\u6df1\u5733\u5148\u8fdb\u6280\u672f\u7814\u7a76\u9662, 1068, \u79d1\u7814\u8def, \u6df1\u5733\u5927\u5b66\u57ce, \u4e09\u5751\u6751, \u5357\u5c71\u533a, \u6df1\u5733\u5e02, \u5e7f\u4e1c\u7701, 518000, \u4e2d\u56fd", "22.59805605", "113.98533784", "edu", "", "China", "2015"], ["Pedestrian detection in digital videos using committee of motion feature extractors", "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "Universidade de Pernambuco, Brazil", "Universidade de Pernambuco(UPE), Recife, Brazil, Instituto Federal de Pernambuco (IFPE), Palmares, Brazil", "Palmares - State of Pernambuco, 55540-000, Brazil", "-8.66529440", "-35.56880500", "edu", "", "Brazil", "2017"], ["Human detection in video over large viewpoint changes", "", "OMRON Corporation, Kyoto, Japan", "Core Technology Center, OMRON Corporation, Kyoto, Japan", "Kyoto, Kyoto Prefecture, Japan", "35.01163630", "135.76802940", "company", "", "Japan", "2010"], ["Learning Discriminative Appearance-Based Models Using Partial Least Squares", "", "University of Maryland", "University of Maryland", "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "39.28996850", "-76.62196103", "edu", "", "United States", "2009"], ["From Categories to Individuals in Real Time -- A Unified Boosting Approach", "", "California Institute of Technology", "California Institute of Technology", "California Institute of Technology, San Pasqual Walk, Madison Heights, Pasadena, Los Angeles County, California, 91126, USA", "34.13710185", "-118.12527487", "edu", "", "United States", "2014"], ["Person re-identification by Weber Local Descriptors and color features", "National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China", "National Digital Switching System Engineering Technology Research Center, Zhengzhou City, China", "National Digital Switching System Engineering Technology Research Center, Zhengzhou City, 450000, China", "Erqi, Zhengzhou, Henan, China, 450000", "34.74987440", "113.66781220", "gov", "", "China", "2015"], ["Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach", "", "Australian National University, Canberra", "Australian National University, Canberra", "Australian National University, Garran Road, Acton, Canberra, Canberra Central, Australian Capital Territory, 2601, Australia", "-35.28121335", "149.11665331", "edu", "", "Australia", "2012"], ["Jointly Learning Deep Features, Deformable Parts, Occlusion and Classification for Pedestrian Detection", "SenseTime Group Limited, Shatin, Hong Kong", "SenseTime", "SenseTime", "China, Beijing Shi, Haidian Qu, WuDaoKou, Zhongguancun E Rd, 1\u53f7-7", "39.99300800", "116.32988200", "company", "1 Zhongguancun E Rd, Haidian Qu, China", "China", "2018"], ["Transferring Boosted Detectors Towards Viewpoint and Scene Adaptiveness", "Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China", "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", "2011"], ["Accuracy prediction for pedestrian detection", "Video and Image Processing Lab (VIPER), Purdue University, West Lafayette, Indiana USA", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2017"], ["UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking", "", "Hanyang University", "Hanyang University", "\ud55c\uc591\ub300, 206, \uc655\uc2ed\ub9ac\ub85c, \uc0ac\uadfc\ub3d9, \uc131\ub3d9\uad6c, \uc11c\uc6b8\ud2b9\ubcc4\uc2dc, 04763, \ub300\ud55c\ubbfc\uad6d", "37.55572710", "127.04366420", "edu", "", "South Korea", "2015"], ["Is Faster R-CNN Doing Well for Pedestrian Detection?", "", "Microsoft", "Microsoft Corporation, Redmond, WA, USA", "One Microsoft Way, Redmond, WA 98052, USA", "47.64233180", "-122.13693020", "company", "", "United States", "2016"], ["Robust Pedestrian Classification Based on Hierarchical Kernel Sparse Representation", "", "Hefei University of Technology", "Hefei University of Technology", "\u5408\u80a5\u5de5\u4e1a\u5927\u5b66\uff08\u5c6f\u6eaa\u8def\u6821\u533a\uff09, 193\u53f7, \u5357\u4e00\u73af\u8def, \u822a\u8fd0\u5357\u6751, \u5305\u516c\u8857\u9053, \u5408\u80a5\u5e02\u533a, \u5408\u80a5\u5e02, \u5b89\u5fbd\u7701, 230009, \u4e2d\u56fd", "31.84691800", "117.29053367", "edu", "", "China", "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"], ["Exploring bounding box context for multi-object tracker fusion", "", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2016"], ["Bregman Divergences for Infinite Dimensional Covariance Matrices", "", "NICTA", "NICTA", "1111 E Touhy Ave #400, Des Plaines, IL 60018, USA", "42.00877410", "-87.89585490", "edu", "", "United States", "2014"], ["MuseumVisitors: A dataset for pedestrian and group detection, gaze estimation and behavior understanding", "", "Columbia University", "Columbia University", "Columbia University Medical Center, 630, West 168th Street, Washington Heights, Manhattan, Manhattan Community Board 12, New York County, NYC, New York, 10031, USA", "40.84198360", "-73.94368971", "edu", "", "United States", "2015"], ["Sparsity-Based Occlusion Handling Method for Person Re-identification", "", "Wuhan University of Technology", "Wuhan University of Technology", "\u6b66\u6c49\u7406\u5de5\u5927\u5b66-\u4f59\u5bb6\u5934\u6821\u533a, \u4ea4\u901a\u4e8c\u8def, \u6768\u56ed\u8857\u9053, \u6b66\u660c\u533a (Wuchang), \u6b66\u6c49\u5e02, \u6e56\u5317\u7701, 430062, \u4e2d\u56fd", "30.60903415", "114.35142840", "edu", "", "China", "2015"], ["Steerable second order intensity features for pedestrian detection", "School of Computer Engineering, Nanyang Technological University, Singapore", "Nanyang Technological University", "Nanyang Technological University", "NTU, Faculty Avenue, Jurong West, Southwest, 637460, Singapore", "1.34841040", "103.68297965", "edu", "", "Singapore", "2015"], ["Receding Horizon Estimation for Multi-Target Tracking via Random Finite Set Approach", "RMIT University, School of Engineering, Melbourne, Australia", "RMIT University", "RMIT University", "RMIT University, 124, La Trobe Street, Melbourne City, City of Melbourne, Victoria, 3000, Australia", "-37.80874650", "144.96388750", "edu", "", "Australia", "2018"], ["Pedestrian detection based on appearance, motion, and shadow information", "The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, 567-0047 Japan", "Osaka University", "Osaka University", "\u5927\u962a\u5927\u5b66\u6e05\u660e\u5bee, \u670d\u90e8\u897f\u753a\u56db\u4e01\u76ee, \u8c4a\u4e2d\u5e02, \u5927\u962a\u5e9c, \u8fd1\u757f\u5730\u65b9, \u65e5\u672c", "34.80809035", "135.45785218", "edu", "", "Japan", "2012"], ["Robust object tracking in crowd dynamic scenes using explicit stereo depth", "", "Xiamen University", "Xiamen University", "\u53a6\u95e8\u5927\u5b66, \u601d\u660e\u5357\u8def Siming South Road, \u601d\u660e\u533a, \u601d\u660e\u533a (Siming), \u53a6\u95e8\u5e02 / Xiamen, \u798f\u5efa\u7701, 361005, \u4e2d\u56fd", "24.43994190", "118.09301781", "edu", "", "China", "2012"], ["Pedestrian detection with depth-guided structure labeling", "Sarnoff Corporation, Princeton, NJ, USA", "Sarnoff Corporation, Princeton, NJ, USA", "Sarnoff Corporation, Princeton, NJ, USA", "201 Washington Rd, Princeton, NJ 08540, USA", "40.33193010", "-74.63052760", "edu", "", "United States", "2009"], ["Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses", "Core Technology Center, Omron Corporation, Kyoto, Japan", "OMRON Corporation, Kyoto, Japan", "Core Technology Center, OMRON Corporation, Kyoto, Japan", "Kyoto, Kyoto Prefecture, Japan", "35.01163630", "135.76802940", "company", "", "Japan", "2009"], ["Online self-supervised segmentation of dynamic objects", "Australian Centre for Field Robotics, School of Information Technologies, University of Sydney, Australia", "University of Sydney", "University of Sydney", "USyd, Fisher Road, Camperdown, Sydney, NSW, 2006, Australia", "-33.88890695", "151.18943366", "edu", "", "Australia", "2013"], ["A person re-identification algorithm based on pyramid color topology feature", "Beijing Key Laboratory of Digital Media, School of Computer Science and Technology, Beihang University, Beijing, China", "Beihang University", "Beihang University", "\u5317\u4eac\u822a\u7a7a\u822a\u5929\u5927\u5b66, 37, \u5b66\u9662\u8def, \u4e94\u9053\u53e3, \u540e\u516b\u5bb6, \u6d77\u6dc0\u533a, 100083, \u4e2d\u56fd", "39.98083330", "116.34101249", "edu", "", "China", "2016"], ["Human centric object detection in highly crowded scenes", "", "Omron Corporation", "Omron corporation", "3709 Ohio Ave, St. Charles, IL 60174, USA", "41.91256730", "-88.26993760", "company", "", "United States", "2011"], ["Quality-adaptive deep learning for pedestrian detection", "", "Purdue University", "Purdue University", "Purdue University, West Stadium Avenue, West Lafayette, Tippecanoe County, Indiana, 47907, USA", "40.43197220", "-86.92389368", "edu", "", "United States", "2017"], ["Pattern Recognition and Image Analysis", "University of Alicante, Spain", "University of Alicante", "University of Alicante, Alicante, Spain", "Carretera de San Vicente del Raspeig, s/n, 03690 San Vicente del Raspeig, Alicante, Spain", "38.38524460", "-0.51431610", "edu", "", "Spain", "2013"], ["Pedestrian Detection with RCNN", "", "Stanford University", "Stanford University", "Stanford University, Memorial Way, Stanford, Santa Clara County, California, 94305-6015, USA", "37.43131385", "-122.16936535", "edu", "", "United States", "2015"], ["Multi-cue pedestrian classification with partial occlusion handling", "", "TU Darmstadt", "TU Darmstadt", "Karolinenpl. 5, 64289 Darmstadt, Germany", "49.87482770", "8.65632810", "edu", "", "Germany", "2010"], ["Road scene segmentation via fusing camera and lidar data", "Faculty of the Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, 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", "2014"], ["Robustness improvement of human detecting and tracking for mobile robot", "College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing, China", "Beijing University of Technology", "Beijing University of Technology", "\u5317\u4eac\u5de5\u4e1a\u5927\u5b66, \u94f6\u674f\u5927\u9053, \u5927\u90ca\u4ead\u6751, \u671d\u9633\u533a / Chaoyang, \u5317\u4eac\u5e02, 3208, \u4e2d\u56fd", "39.87391435", "116.47722285", "edu", "", "China", "2012"], ["Efficient object detection and segmentation with a cascaded Hough Forest ISM", "UMIC Research Centre, RWTH Aachen University, Germany", "RWTH Aachen University", "RWTH Aachen University", "RWTH Aachen, Mies-van-der-Rohe-Stra\u00dfe, K\u00f6nigsh\u00fcgel, Aachen-Mitte, Aachen, St\u00e4dteregion Aachen, Regierungsbezirk K\u00f6ln, Nordrhein-Westfalen, 52074, Deutschland", "50.77917030", "6.06728733", "edu", "", "Germany", "2011"]]}