16.7.4.4.2 Tracking Several People, Occlusions

Rigoll, G.[Gerhard], Breit, H.[Harald], Wallhoff, F.[Frank],
Robust tracking of persons in real-world scenarios using a statistical computer vision approach,
IVC(22), No. 7, July 2004, pp. 571-582.
Elsevier DOI 0405
BibRef

Rigoll, G.[Gerhard], Winterstein, B., Müller, S.[Stefan],
Robust Person Tracking in Real Scenarios with Non-Stationary Background Using a Statistical Computer Vision Approach,
VS99(xx-yy). BibRef 9900
And: A1, A3, A2:
Robust Person Tracking with Non-Stationary Background Using a Combined Pseudo-2D-HMM and Kalman-Filter Approach,
ICIP99(IV:242-246).
IEEE DOI BibRef

Rigoll, G.[Gerhard], Eickeler, S.[Stefan], Müller, S.[Stefan],
Person Tracking in Real-World Scenarios Using Statistical Methods,
AFGR00(342-347).
IEEE DOI 0003
BibRef
And: A3, A2, A1:
Crane Gesture Recognition using Pseudo 3-D Hidden Markov Models,
AFGR00(398-402).
IEEE DOI 0003
BibRef
Earlier: A3, A2, A1:
Pseudo 3-D HMMs for Image Sequence Recognition,
ICIP99(IV:237-241).
IEEE DOI BibRef

Eickeler, S.[Stefan], Rigoll, G.[Gerhard],
Hidden Markov Model Based Continuous Online Gesture Recognition,
ICPR98(Vol II: 1206-1208).
IEEE DOI 9808
BibRef

Breit, H., Rigoll, G.,
A flexible multimodal object tracking system,
ICIP03(III: 133-136).
IEEE DOI 0312
BibRef
Earlier:
Improved Person Tracking Using a Combined Pseudo-2D-HMM and Kalman Filter Approach with Automatic Background State Adaptation,
ICIP01(II: 53-56).
IEEE DOI 0108
Sports? BibRef

Wachter, S., Nagel, H.H.,
Tracking Persons in Monocular Image Sequences,
CVIU(74), No. 3, June 1999, pp. 174-192.
DOI Link BibRef 9906

Brill, F.Z.[Frank Z.], Olson, T.J.[Thomas J.],
Method of dealing with occlusion when tracking multiple objects and people in video sequences,
US_Patent6,542,621, Apr 1, 2003
WWW Link. BibRef 0304

Lerdsudwichai, C.[Charay], Abdel-Mottaleb, M.[Mohamed], Ansari, A.N.[A-Nasser],
Tracking multiple people with recovery from partial and total occlusion,
PR(38), No. 7, July 2005, pp. 1059-1070.
Elsevier DOI 0505
BibRef

Kang, H.G.[Hee-Gu], Kim, D.J.[Dai-Jin],
Real-time multiple people tracking using competitive condensation,
PR(38), No. 7, July 2005, pp. 1045-1058.
Elsevier DOI 0505
BibRef
Earlier: Add A3: Bang, S.Y.[Sung Yang], ICPR02(I: 413-416).
IEEE DOI 0211
BibRef
And: ICIP02(III: 325-328).
IEEE DOI 0210
BibRef

Khan, Z.[Zia], Balch, T.[Tucker], Dellaert, F.[Frank],
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets,
PAMI(27), No. 11, November 2005, pp. 1805-1918.
IEEE DOI 0510
BibRef
Earlier:
A Rao-Blackwellized particle filter for eigentracking,
CVPR04(II: 980-986).
IEEE DOI 0408
BibRef
And:
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets,
ECCV04(Vol IV: 279-290).
Springer DOI 0405
Markov-Chain Monte Carlo. Deal with problems that arise when the tracking is lost. See also EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation. BibRef

Lanz, O.[Oswald],
Approximate Bayesian Multibody Tracking,
PAMI(28), No. 9, September 2006, pp. 1436-1449.
IEEE DOI 0608
BibRef

Lanz, O.[Oswald], Manduchi, R.[Roberto],
Hybrid Joint-Separable Multibody Tracking,
CVPR05(I: 413-420).
IEEE DOI 0507
BibRef

Lanz, O.[Oswald], Hu, T.[Tao],
Dynamic resource allocation for probabilistic tracking via attentive sensing and sampling,
RAWNETS11(432-434).
IEEE DOI 1111
BibRef

Rui, Y.[Yong], Chen, Y.Q.[Yun-Qiang],
Automatic detection and tracking of multiple individuals using multiple cues,
US_Patent7,130,446, Oct 31, 2006
WWW Link. BibRef 0610
And: US_Patent7,151,843, Dec 19, 2006
WWW Link. BibRef
And: US_Patent7,171,025, Jan 30, 2007
WWW Link. BibRef
And: US_Patent7,428,315, Sep 23, 200
WWW Link. BibRef

Zhao, T.[Tao], Aggarwal, M.[Manoj], Germano, T.[Thomas], Roth, I.[Ian], Knowles, A.[Alexandar], Kumar, R.[Rakesh], Sawhney, H.[Harpreet], Samarasekera, S.[Supun],
Toward a sentient environment: Real-time wide area multiple human tracking with identities,
MVA(19), No. 5-6, October 2008, pp. xx-yy.
Springer DOI 0810
BibRef

Min, J.H.[Jung-Hye], Kasturi, R.[Rangachar], Camps, O.I.[Octavia I.],
Extraction and Temporal Segmentation of Multiple Motion Trajectories in Human Motion,
IVC(26), No. 12, 1 December 2008, pp. 1621-1635.
Elsevier DOI 0810
BibRef
Earlier: A1, A2, Only: EventVideo04(118).
IEEE DOI 0502
Activity recognition; Motion trajectories; Motion tracking; Motion segmentation; Motion detection; Temporal segmentation BibRef

Min, J.H.[Jung-Hye], Park, J.H.[Jin Hyeong], Kasturi, R.[Rangachar],
Extraction of Multiple Motion Trajectories in Human Motion,
SCIA03(1050-1057).
Springer DOI 0310
BibRef

Wang, J.[Jing], Yin, Y.F.[Ya-Feng], Man, H.[Hong],
Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef
And: A1, A3, A2:
Tracking human body by using particle filter Gaussian process Markov-switching model,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier: A1, A3, A2:
Multitarget tracking using Gaussian Process Dynamical Model particle filter,
ICIP08(1580-1583).
IEEE DOI 0810
BibRef

Yin, Y.F.[Ya-Feng], Man, H.[Hong], Wang, J.[Jing], Yang, G.[Guang],
Human Motion Change Detection by Hierarchical Gaussian Process Dynamical Model with Particle Filter,
AVSS10(307-314).
IEEE DOI 1009
BibRef

Hu, W.M.[Wei-Ming], Zhou, X.[Xue], Hu, M.[Min], Maybank, S.J.[Steve J.],
Occlusion Reasoning for Tracking Multiple People,
CirSysVideo(19), No. 1, January 2009, pp. 114-121.
IEEE DOI 0902
BibRef

Ma, Y.Q.[Yun-Qian], Yu, Q.[Qian], Cohen, I.[Isaac],
Target tracking with incomplete detection,
CVIU(113), No. 4, April 2009, pp. 580-587.
Elsevier DOI 0903
BibRef
Earlier:
Multiple Hypothesis Target Tracking Using Merge and Split of Graph's Nodes,
ISVC06(I: 783-792).
Springer DOI
PDF File. 0611
Multiple target tracking; Split and merge of detected regions; Maximum a posteriori BibRef

Yu, Q.[Qian], Medioni, G.[Gerard],
Multiple-Target Tracking by Spatiotemporal Monte Carlo Markov Chain Data Association,
PAMI(31), No. 12, December 2009, pp. 2196-2210.
IEEE DOI 0911
BibRef
Earlier:
Integrated Detection and Tracking for Multiple Moving Objects using Data-Driven MCMC Data Association,
Motion08(1-8).
IEEE DOI
PDF File. 0801
BibRef
Earlier:
Map-Enhanced Detection and Tracking from a Moving Platform with Local and Global Data Association,
Motion07(3-3).
IEEE DOI
PDF File. 0702
Apply espceciall to people tracking, but also vehicles. BibRef

Dinh, T.B.[Thang Ba], Vo, N.N.[Nam N.], Medioni, G.[Gerard],
Context tracker: Exploring supporters and distracters in unconstrained environments,
CVPR11(1177-1184).
IEEE DOI 1106
BibRef

Dinh, T.B.[Thang Ba], Vo, N.N.[Nam N.], Medioni, G.[Gerard],
High resolution face sequences from a PTZ network camera,
FG11(531-538).
IEEE DOI 1103
BibRef

Cai, Y.H.[Ying-Hao], Medioni, G.[Gérard],
Persistent people tracking and face capture using a PTZ camera,
MVA(27), No. 3, April 2016, pp. 397-413.
Springer DOI 1604
BibRef
Earlier: A2, A1:
Persistent People Tracking and Face Capture over a Wide Area,
LTDT14(714-715)
IEEE DOI 1409
BibRef
Earlier: A1, A2:
Exploring context information for inter-camera multiple target tracking,
WACV14(761-768)
IEEE DOI 1406
Cameras; Color; Context;Histograms; Image color analysis; Target tracking BibRef

Cai, Y.H.[Ying-Hao], Medioni, G., Dinh, T.B.[Thang Ba],
Towards a practical PTZ face detection and tracking system,
WACV13(31-38).
IEEE DOI 1303
BibRef

Dinh, T.B.[Thang Ba], Medioni, G.[Gerard],
Co-training framework of generative and discriminative trackers with partial occlusion handling,
WMVC11(642-649).
IEEE DOI 1101
BibRef

Dinh, T.B.[Thang Ba], Yu, Q.[Qian], Medioni, G.[Gérard],
Real time tracking using an active pan-tilt-zoom network camera,
IROS09(3786-3793).
PDF File. BibRef 0900

Yu, Q.[Qian], Dinh, T.B.[Thang Ba], Medioni, G.[Gérard],
Online Tracking and Reacquisition Using Co-trained Generative and Discriminative Trackers,
ECCV08(II: 678-691).
Springer DOI 0810
BibRef

Yu, Q.[Qian], Medioni, G.[Gerard], Cohen, I.[Isaac],
Multiple Target Tracking Using Spatio-Temporal Markov Chain Monte Carlo Data Association,
CVPR07(1-8).
IEEE DOI
PDF File. 0706
BibRef

Yu, Q.[Qian], Cohen, I.[Isaac], Medioni, G.[Gerard], Wu, B.[Bo],
Boosted Markov Chain Monte Carlo Data Association for Multiple Target Detection and Tracking,
ICPR06(II: 675-678).
IEEE DOI
PDF File. 0609
BibRef

Piotto, N.[Nicola], Conci, N.[Nicola], de Natale, F.G.B.[Francesco G.B.],
Syntactic Matching of Trajectories for Ambient Intelligence Applications,
MultMed(11), No. 7, November 2009, pp. 1266-1275.
IEEE DOI 0911
BibRef
And: A1, A3, A2:
Hierarchical Matching of 3D Pedestrian Trajectories for Surveillance Applications,
AVSBS09(146-151).
IEEE DOI 0909
BibRef

Sherrah, J.[Jamie], Ristic, B.[Branko], Redding, N.J.[Nicholas J.],
Particle filter to track multiple people for visual surveillance,
IET-CV(5), No. 4, 2011, pp. 192-200.
DOI Link 1107
BibRef
Earlier:
Evaluation of a Particle Filter to Track People for Visual Surveillance,
DICTA09(96-102).
IEEE DOI 0912
See also Online Tracking of People through a Camera Network. BibRef

de Laet, T.[Tinne], Bruyninckx, H.[Herman], de Schutter, J.[Joris],
Shape-Based Online Multitarget Tracking and Detection for Targets Causing Multiple Measurements: Variational Bayesian Clustering and Lossless Data Association,
PAMI(33), No. 12, December 2011, pp. 2477-2491.
IEEE DOI 1110
Multiple measurements for target. High level target position and shape, low-level clusters of measurements. Apply to video and laser date for tracking people and ants. BibRef

Huo, F.F.[Fei-Fei], Hendriks, E.A.[Emile A.],
Multiple people tracking and pose estimation with occlusion estimation,
CVIU(116), No. 5, May 2012, pp. 634-647.
Elsevier DOI 1203
Multiple people tracking; Pose estimation; Occlusion estimation BibRef

Li, L., Yan, S., Yu, X., Tan, Y.K., Li, H.,
Robust Multiperson Detection and Tracking for Mobile Service and Social Robots,
SMC-B(42), No. 5, October 2012, pp. 1398-1412.
IEEE DOI 1209
BibRef

Shen, Y.[Yuan], Miao, Z.J.[Zhen-Jiang],
Multi-human tracking from sparse detection responses,
IET-CV(6), No. 6, 2012, pp. 590-602.
DOI Link 1301
BibRef

Shen, Y.[Yuan], Miao, Z.J.[Zhen-Jiang], Wang, Z.F.[Zhi-Fei],
A cost function approach for multi-human tracking,
ICIP11(481-484).
IEEE DOI 1201
BibRef

Yamasaki, T.[Toshihiko], Matsunami, T.[Tomoaki], Chen, T.[Tuhan],
Human Attribute Analysis Using a Top-View Camera Based on Two-Stage Classification,
IEICE(E96-D), No. 4, April 2013, pp. 993-996.
WWW Link. 1304
BibRef
Earlier: A1, A2, Only:
Pedestrian Attribute Analysis Using a Top-View Camera in a Public Space,
MMMod12(541-550).
Springer DOI 1201
BibRef

Sun, L.[Li], Liu, G.Z.[Gui-Zhong], Liu, Y.Q.[Yi-Qing],
Multiple pedestrians tracking algorithm by incorporating histogram of oriented gradient detections,
IET-PR(7), No. 7, October 2013, pp. 653-659.
DOI Link 1312
gradient methods BibRef

Brscic, D., Kanda, T., Ikeda, T., Miyashita, T.,
Person Tracking in Large Public Spaces Using 3-D Range Sensors,
HMS(43), No. 6, 2013, pp. 522-534.
IEEE DOI 1312
Cameras BibRef

Cancela, B., Ortega, M., Penedo, M.G.,
Multiple human tracking system for unpredictable trajectories,
MVA(25), No. 2, February 2014, pp. 511-527.
WWW Link. 1402
BibRef

Shen, Y.[Yuan], Miao, Z.J.[Zhen-Jiang],
Multihuman Tracking Based on a Spatial-Temporal Appearance Match,
CirSysVideo(24), No. 3, March 2014, pp. 361-373.
IEEE DOI 1404
Bayes methods BibRef

Lee, D.H.[Dong-Hoon], Hwang, I.[Inhwan], Oh, S.H.[Song-Hwai],
OPTIMUS: Online Persistent Tracking and Identification of Many Users for Smart Spaces,
MVA(25), No. 4, May 2014, pp. 901-917.
WWW Link. 1404
BibRef

Wang, L.[Lu], Yung, N.H.C.[Nelson H.C.], Xu, L.S.[Li-Sheng],
Multiple-Human Tracking by Iterative Data Association and Detection Update,
ITS(15), No. 5, October 2014, pp. 1886-1899.
IEEE DOI 1410
BibRef
Earlier: A1, A2, Only:
Detection Based Low Frame Rate Human Tracking,
ICPR10(3529-3532).
IEEE DOI 1008
feature extraction BibRef

Peng, P.X.[Pei-Xi], Tian, Y.H.[Yong-Hong], Wang, Y.W.[Yao-Wei], Li, J.[Jia], Huang, T.J.[Tie-Jun],
Robust multiple cameras pedestrian detection with multi-view Bayesian network,
PR(48), No. 5, 2015, pp. 1760-1772.
Elsevier DOI 1502
BibRef
Earlier: A1, A2, A3, A5, Only:
Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model,
BMVC12(69).
DOI Link 1301
Pedestrian detection BibRef

Xu, T.[Teng], Peng, P.X.[Pei-Xi], Fang, X.Y.[Xiao-Yu], Su, C.[Chi], Wang, Y.W.[Yao-Wei], Tian, Y.H.[Yong-Hong], Zeng, W.[Wei], Huang, T.J.[Tie-Jun],
Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments,
AVSS12(494-499).
IEEE DOI 1211
BibRef

Chen, L.[Lili], Wang, W.[Wei], Panin, G., Knoll, A.,
Hierarchical Grid-based Multi-People Tracking-by-Detection With Global Optimization,
IP(24), No. 11, November 2015, pp. 4197-4212.
IEEE DOI 1509
image sequences BibRef

McLaughlin, N.[Niall], del Rincon, J.M.[Jesus Martinez], Miller, P.[Paul],
Dense Multiperson Tracking with Robust Hierarchical Linear Assignment,
Cyber(45), No. 7, July 2015, pp. 1276-1288.
IEEE DOI 1506
BibRef
Earlier:
Enhancing Linear Programming with Motion Modeling for Multi-target Tracking,
WACV15(71-77)
IEEE DOI 1503
BibRef
Earlier:
Online multiperson tracking with occlusion reasoning and unsupervised track motion model,
AVSS13(37-42)
IEEE DOI 1311
Cost function. Detectors Computational modeling BibRef

Li, Y.[Yuke], Shen, W.M.[Wei-Ming],
Inter-Person Occlusion Handling with Social Interaction for Online Multi-Pedestrian Tracking,
IEICE(E99-D), No. 12, December 2016, pp. 3165-3171.
WWW Link. 1612
BibRef
Earlier:
Social interaction based handling inter-person occlusion for online multi-pedestrian tracking,
AVSS15(1-6)
IEEE DOI 1511
image motion analysis BibRef

Ba, S.O.[Sileye O.], Alameda-Pineda, X.[Xavier], Xompero, A.[Alessio], Horaud, R.[Radu],
An on-line variational Bayesian model for multi-person tracking from cluttered scenes,
CVIU(153), No. 1, 2016, pp. 64-76.
Elsevier DOI 1612
Multi-person tracking BibRef

Ban, Y.T.[Yu-Tong], Ba, S.O.[Sileye O.], Alameda-Pineda, X.[Xavier], Horaud, R.[Radu],
Tracking Multiple Persons Based on a Variational Bayesian Model,
MOTC16(II: 52-67).
Springer DOI 1611
BibRef

Babaee, M., You, Y., Rigoll, G.[Gerhard],
Combined segmentation, reconstruction, and tracking of multiple targets in multi-view video sequences,
CVIU(154), No. 1, 2017, pp. 166-181.
Elsevier DOI 1612
Superpixels BibRef

Hofmann, M.[Martin], Haag, M., Rigoll, G.[Gerhard],
Unified hierarchical multi-object tracking using global data association,
PETS13(22-28)
IEEE DOI 1411
data handling BibRef

Hofmann, M.[Martin], Wolf, D.[Daniel], Rigoll, G.[Gerhard],
Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking,
CVPR13(3650-3657)
IEEE DOI 1309
hypergraphs; multi-object; multi-view; surveillance; tracking BibRef

Hofmann, M.[Martin], Rigoll, G.[Gerhard], Huang, T.S.[Thomas S.],
Dense spatio-temporal motion segmentation for tracking multiple self-occluding people,
SISM10(9-14).
IEEE DOI 1006
BibRef

Wang, B.[Bing], Wang, G.[Gang], Chan, K.L.[Kap Luk], Wang, L.[Li],
Tracklet Association by Online Target-Specific Metric Learning and Coherent Dynamics Estimation,
PAMI(39), No. 3, March 2017, pp. 589-602.
IEEE DOI 1702
BibRef
Earlier:
Tracklet Association with Online Target-Specific Metric Learning,
CVPR14(1234-1241)
IEEE DOI 1409
Dynamics. long-term multi-person tracking. BibRef

Das, A.[Abir], Panda, R.[Rameswar], Roy-Chowdhury, A.K.[Amit K.],
Continuous adaptation of multi-camera person identification models through sparse non-redundant representative selection,
CVIU(156), No. 1, 2017, pp. 66-78.
Elsevier DOI 1702
BibRef
Earlier:
Active image pair selection for continuous person re-identification,
ICIP15(4263-4267)
IEEE DOI 1512
Redundancy reduction. Active learning; Attributes; Person re-identification BibRef

Ma, X.L.[Xiao-Long], Zhu, X.T.[Xia-Tian], Gong, S.G.[Shao-Gang], Xie, X.D.[Xu-Dong], Hu, J.M.[Jian-Ming], Lam, K.M.[Kin-Man], Zhong, Y.S.[Yi-Sheng],
Person re-identification by unsupervised video matching,
PR(65), No. 1, 2017, pp. 197-210.
Elsevier DOI 1702
Person re-identification BibRef

Wu, L.[Lin], Shen, C.H.[Chun-Hua], van den Hengel, A.J.[Anton J.],
Deep linear discriminant analysis on fisher networks: A hybrid architecture for person re-identification,
PR(65), No. 1, 2017, pp. 238-250.
Elsevier DOI 1702
Linear discriminant analysis BibRef

Karanam, S.[Srikrishna], Li, Y.[Yang], Radke, R.J.[Richard J.],
Person re-identification with block sparse recovery,
IVC(60), No. 1, 2017, pp. 75-90.
Elsevier DOI 1704
BibRef
Earlier:
Particle dynamics and multi-channel feature dictionaries for robust visual tracking,
BMVC15(xx-yy).
DOI Link 1601
Person re-identification BibRef

Madrigal, F.[Francisco], Hayet, J.B.[Jean-Bernard], Rivera, M.[Mariano],
Motion priors for multiple target visual tracking,
MVA(26), No. 2-3, April 2015, pp. 141-160.
WWW Link. 1504
BibRef
Earlier: A1, A3, A2:
Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking,
PSIVT11(II: 287-298).
Springer DOI 1111
See also Evaluation of multiple motion models for multiple pedestrian visual tracking. BibRef

Madrigal, F.[Francisco], Hayet, J.B.[Jean-Bernard],
Motion priors based on goals hierarchies in pedestrian tracking applications,
MVA(28), No. 3-4, May 2017, pp. 341-359.
WWW Link. 1704
BibRef
Earlier:
Evaluation of multiple motion models for multiple pedestrian visual tracking,
AVSS13(31-36)
IEEE DOI 1311
BibRef
Earlier:
Multiple view, multiple target tracking with principal axis-based data association,
AVSBS11(185-190).
IEEE DOI 1111
Bayes methods See also Learning and Regularizing Motion Models for Enhancing Particle Filter-Based Target Tracking. BibRef

Jia, J.[Jieru], Ruan, Q.Q.[Qiu-Qi], An, G.[Gaoyun], Jin, Y.[Yi],
Multiple metric learning with query adaptive weights and multi-task re-weighting for person re-identification,
CVIU(160), No. 1, 2017, pp. 87-99.
Elsevier DOI 1706
Person re-identification BibRef

Zhao, C.R.[Cai-Rong], Wang, X.K.[Xue-Kuan], Wong, W.K.[Wai Keung], Zheng, W.S.[Wei-Shi], Yang, J.[Jian], Miao, D.Q.[Duo-Qian],
Multiple metric learning based on bar-shape descriptor for person re-identification,
PR(71), No. 1, 2017, pp. 218-234.
Elsevier DOI 1707
Person, re-identification BibRef

Zhu, X., Wu, B., Huang, D., Zheng, W.S.,
Fast Open-World Person Re-Identification,
IP(27), No. 5, May 2018, pp. 2286-2300.
IEEE DOI 1804
image matching, image representation, learning (artificial intelligence), open search space BibRef

Zhang, Z.Y.[Zong-Yan], Zhao, C.R.[Cai-Rong], Miao, D.Q.[Duo-Qian], Wang, X.[Xuekuan], Lai, Z.H.[Zhi-Hui], Yang, J.[Jian],
Saliency-Based Person Re-identification by Probability Histogram,
HIS16(III: 315-329).
Springer DOI 1704
BibRef

Wu, L.[Lin], Wang, Y.[Yang], Gao, J.B.[Jun-Bin], Li, X.[Xue],
Deep adaptive feature embedding with local sample distributions for person re-identification,
PR(73), No. 1, 2018, pp. 275-288.
Elsevier DOI 1709
Deep feature embedding BibRef

Wu, L.[Lin], Wang, Y.[Yang], Ge, Z.Y.[Zong-Yuan], Hu, Q.C.[Qi-Chang], Li, X.[Xue],
Structured deep hashing with convolutional neural networks for fast person re-identification,
CVIU(167), 2018, pp. 63-73.
Elsevier DOI 1804
Person re-identification, Convolutional neural networks, Deep hashing, Structured embedding BibRef

Wu, L.[Lin], Wang, Y.[Yang], Li, X.[Xue], Gao, J.B.[Jun-Bin],
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification,
PR(76), No. 1, 2018, pp. 727-738.
Elsevier DOI 1801
Multiplicative integration gating BibRef

Li, S.Q.[Shuang-Qun], Ma, H.D.[Hua-Dong],
A Siamese inception architecture network for person re-identification,
MVA(28), No. 7, October 2017, pp. 725-736.
WWW Link. 1710
BibRef

Zhao, Z.C.[Zhi-Cheng], Zhao, B.L.[Bin-Lin], Su, F.[Fei],
Person re-identification via integrating patch-based metric learning and local salience learning,
PR(75), No. 1, 2018, pp. 90-98.
Elsevier DOI 1712
Person re-identification BibRef

Ren, Y.T.[Yu-Tao], Li, X.L.[Xue-Long], Lu, X.Q.[Xiao-Qiang],
Feedback mechanism based iterative metric learning for person re-identification,
PR(75), No. 1, 2018, pp. 99-111.
Elsevier DOI 1712
Person re-identification BibRef

Jiang, Z.Q.[Zheng-Qiang], Huynh, D.Q.[Du Q.],
Multiple Pedestrian Tracking From Monocular Videos in an Interacting Multiple Model Framework,
IP(27), No. 3, March 2018, pp. 1361-1375.
IEEE DOI 1801
Adaptation models, Computational modeling, Histograms, Image color analysis, Target tracking, Videos, Munkres' algorithm, visual tracking BibRef

Jiang, Z.Q.[Zheng-Qiang], Huynh, D.Q.[Du Q.], Moran, W.[William], Challa, S.[Subhash], Spadaccini, N.[Nick],
Multiple Pedestrian Tracking Using Colour and Motion Models,
DICTA10(328-334).
IEEE DOI 1012
BibRef

Jiang, Z.Q.[Zheng-Qiang], Huynh, D.Q.[Du Q.], Moran, W.[William], Challa, S.[Subhash],
Tracking pedestrians using smoothed colour histograms in an interacting multiple model framework,
ICIP11(2313-2316).
IEEE DOI 1201
BibRef

Zhou, S., Wang, J., Shi, R., Hou, Q., Gong, Y., Zheng, N.,
Large Margin Learning in Set-to-Set Similarity Comparison for Person Reidentification,
MultMed(20), No. 3, March 2018, pp. 593-604.
IEEE DOI 1802
Cameras, Feature extraction, Learning systems, Machine learning, Measurement, Neural networks, Robustness, Person re-identification, set to set similarity comparison BibRef

Lejbølle, A.R.[Aske R.], Nasrollahi, K.[Kamal], Moeslund, T.B.[Thomas B.],
Enhancing person re-identification by late fusion of low-, mid- and high-level features,
IET-Bio(7), No. 2, March 2018, pp. 125-135.
DOI Link 1802
BibRef

Barbosa, I.B.[Igor Barros], Cristani, M.[Marco], Caputo, B.[Barbara], Rognhaugen, A.[Aleksander], Theoharis, T.[Theoharis],
Looking beyond appearances: Synthetic training data for deep CNNs in re-identification,
CVIU(167), 2018, pp. 50-62.
Elsevier DOI 1804
Re-identification, Deep learning, Training set, Automated training dataset generation, Re-identification photorealistic dataset BibRef

Tian, Y.[Ying], Zeng, M.Y.[Ming-Yong], Lu, A.[AiHong], Gao, B.[Bin], Luo, Z.K.[Zhang-Kai],
Improving Person Re-Identification by Efficient Pairwise-Specific CRC Coding in the XQDA Subspace,
IEICE(E101-D), No. 4, April 2018, pp. 1209-1212.
WWW Link. 1804
BibRef

Feng, Z., Lai, J., Xie, X.,
Learning View-Specific Deep Networks for Person Re-Identification,
IP(27), No. 7, July 2018, pp. 3472-3483.
IEEE DOI 1805
Benchmark testing, Cameras, Computational modeling, Dictionaries, Feature extraction, Machine learning, Measurement, view-specific deep networks BibRef

Chen, Y.[Ying], Yuan, J.[Jin], Li, Z.Y.[Zhi-Yong], Wu, Y.Q.[Yi-Qiang], Nouioua, M.[Mourad], Xie, G.[Guoqi],
Person re-identification based on re-ranking with expanded k-reciprocal nearest neighbors,
JVCIR(58), 2019, pp. 486-494.
Elsevier DOI 1901
Person re-identification, Re-ranking, Expanded k-reciprocal neighbors, Rank list similarity BibRef

Babaee, M., Li, Z., Rigoll, G.,
Occlusion Handling in Tracking Multiple People Using RNN,
ICIP18(2715-2719)
IEEE DOI 1809
Target tracking, Training, Legged locomotion, Trajectory, Video sequences, Tracking, Motion, Occlusion, RNN, Deep learning BibRef

Huang, Z.X.[Zeng-Xi], Feng, Z.H.[Zhen-Hua], Yan, F.[Fei], Kittler, J.[Josef], Wu, X.J.[Xiao-Jun],
Robust Pedestrian Detection for Semi-automatic Construction of a Crowded Person Re-Identification Dataset,
AMDO18(63-72).
Springer DOI 1807
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Zhang, P.[Peng], Wu, Q.[Qiang], Xu, J.S.[Jing-Song], Zhang, J.[Jian],
Long-Term Person Re-identification Using True Motion from Videos,
WACV18(494-502)
IEEE DOI 1806
feature extraction, image coding, image matching, image motion analysis, image representation, image sequences, Videos BibRef

Wojke, N., Bewley, A.,
Deep Cosine Metric Learning for Person Re-identification,
WACV18(748-756)
IEEE DOI 1806
feature extraction, image classification, learning (artificial intelligence), query processing, vectors, Trajectory BibRef

Ustinova, E., Ganin, Y., Lempitsky, V.,
Multi-Region bilinear convolutional neural networks for person re-identification,
AVSS17(1-6)
IEEE DOI 1806
convolution, image classification, image matching, neural nets, bilinear pooling, bilinear-CNN architecture, Streaming media BibRef

Zhang, K.X.[Kai-Xuan], Xu, Y.[Yang], Sun, L.[Li], Qiu, S.[Song], Li, Q.L.[Qing-Li],
Person Re-id by Incorporating PCA Loss in CNN,
MMMod18(II:200-212).
Springer DOI 1802
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Peralta, B.[Billy], Caro, L.[Luis], Soto, A.[Alvaro],
Unsupervised Local Regressive Attributes for Pedestrian Re-identification,
CIARP17(517-524).
Springer DOI 1802
BibRef
Earlier: A1, A3, Only:
Multi-target Tracking with Sparse Group Features and Position Using Discrete-Continuous Optimization,
HIS14(680-694).
Springer DOI 1504
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Lisanti, G., Martinel, N., Bimbo, A.D., Foresti, G.L.,
Group Re-identification via Unsupervised Transfer of Sparse Features Encoding,
ICCV17(2468-2477)
IEEE DOI 1802
feature extraction, group theory, image coding, image matching, image representation, image sensors, unsupervised learning, Re, Visualization BibRef

Chahar, H.[Harendra], Nain, N.[Neeta],
A Study on Deep Convolutional Neural Network Based Approaches for Person Re-identification,
PReMI17(543-548).
Springer DOI 1711
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Xu, X., Ma, B.P.[Bing-Peng], Chang, H.[Hong], Chen, X.L.[Xi-Lin],
Siamese recurrent architecture for visual tracking,
ICIP17(1152-1156)
IEEE DOI 1803
Computer architecture, Recurrent neural networks, Target tracking, Training, Videos, Visualization, visual tracking BibRef

Deng, X.S.[Xue-Song], Ma, B.P.[Bing-Peng], Chang, H.[Hong], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Deep Second-Order Siamese Network for Pedestrian Re-identification,
ACCV16(II: 321-337).
Springer DOI 1704
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Xu, B.[Bolei], Qiu, G.P.[Guo-Ping],
Unsupervised Person Re-identification via Graph-Structured Image Matching,
HIS16(III: 301-314).
Springer DOI 1704
BibRef

Zhang, S.[Shun], Gong, Y.H.[Yi-Hong], Huang, J.B.[Jia-Bin], Lim, J.W.[Jong-Woo], Wang, J.[Jinjun], Ahuja, N.[Narendra], Yang, M.H.[Ming-Hsuan],
Tracking Persons-of-Interest via Adaptive Discriminative Features,
ECCV16(V: 415-433).
Springer DOI 1611
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Huynh, X.P.[Xuan-Phung], Choi, I.H.[In-Ho], Kim, Y.G.[Yong-Guk],
Tracking a Human Fast and Reliably Against Occlusion and Human-Crossing,
PSIVT15(461-472).
Springer DOI 1602
BibRef

Zhou, Z.[Zhi], Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
Double layer salient parts based multi-people tracking,
ICIP15(3067-3071)
IEEE DOI 1512
Multi-people tracking BibRef

de Carvalho Prates, R.F.[Raphael Felipe], Schwartz, W.R.[William Robson],
CBRA: Color-based ranking aggregation for person re-identification,
ICIP15(1975-1979)
IEEE DOI 1512
color features BibRef

Si, J.L.[Jian-Lou], Zhang, H.G.[Hong-Gang], Li, C.G.[Chun-Guang],
Regularization in metric learning for person re-identification,
ICIP15(2309-2313)
IEEE DOI 1512
Metric Learning; Person Re-identification; Regularization BibRef

Huang, S.[Shuai], Gu, Y.[Yun], Yang, J.[Jie], Shi, P.F.[Peng-Fei],
Reranking of person re-identification by manifold-based approach,
ICIP15(4253-4257)
IEEE DOI 1512
manifold; re-identification; reranking BibRef

Tsai, M.C.[Ming-Chia], Wei, C.P.[Chia-Po], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Graph regularized low-rank matrix recovery for robust person re-identification,
ICIP15(4654-4658)
IEEE DOI 1512
Graph Regularization; Low-Rank Matrix Recovery; Person Re-Identification BibRef

Fagot-Bouquet, L.[Low], Audigier, R.[Romaric], Dhome, Y.[Yoann], Lerasle, F.[Frederic],
Online multi-person tracking based on global sparse collaborative representations,
ICIP15(2414-2418)
IEEE DOI 1512
BibRef
Earlier:
Collaboration and spatialization for an efficient multi-person tracking via sparse representations,
AVSS15(1-6)
IEEE DOI 1511
Online tracking. computer vision BibRef

Ristani, E.[Ergys], Tomasi, C.[Carlo],
Tracking Multiple People Online and in Real Time,
ACCV14(V: 444-459).
Springer DOI 1504
BibRef

Mansouri, N., Ben Jemaa, Y., Motamed, C., Pinti, A., Watelain, E.,
A new strategy based on spatiogram similarity association for multi-pedestrian tracking,
IPTA14(1-6)
IEEE DOI 1503
image sequences BibRef

Chen, J.H.[Jia-Hui], Sheng, H.[Hao], Zhang, Y.[Yang], Xiong, Z.[Zhang],
Enhancing Detection Model for Multiple Hypothesis Tracking,
PETS17(2143-2152)
IEEE DOI 1709
Analytical models, Cameras, Correlation, Detectors, Target tracking, Trajectory BibRef

Sheng, H.[Hao], Liu, S.[Shukai], Ji, H.S.[Heng-Shan], Chen, J.H.[Jia-Hui], Xiong, Z.[Zhang],
A Pedestrian-Pedestrian and Pedestrian-Vehicle Interaction Motion Model for Pedestrians Tracking,
ISVC14(I: 270-280).
Springer DOI 1501
BibRef

Pham, V.Q.[Viet-Quoc], Kozakaya, T.[Tatsuo], Okada, R.[Ryuzo],
DIET: Dynamic Integration of Extended Tracklets for Tracking Multiple Persons,
ICPR14(1206-1211)
IEEE DOI 1412
Cities and towns BibRef

Yan, X.[Xu], Cheriyadat, A.[Anil], Shah, S.K.[Shishir K.],
Hierarchical Group Structures in Multi-person Tracking,
ICPR14(2221-2226)
IEEE DOI 1412
Dynamics BibRef

Gudys, A.[Adam], Rosner, J.[Jakub], Segen, J.[Jakub], Wojciechowski, K.[Konrad], Kulbacki, M.[Marek],
Tracking People in Video Sequences by Clustering Feature Motion Paths,
ICCVG14(236-245).
Springer DOI 1410
BibRef

Henschel, R.[Roberto], Leal-Taixé, L.[Laura], Rosenhahn, B.[Bodo],
Solving Multiple People Tracking in a Minimum Cost Arborescence,
MTT15(71-72)
IEEE DOI 1503
BibRef
Earlier:
Efficient Multiple People Tracking Using Minimum Cost Arborescences,
GCPR14(265-276).
Springer DOI 1411
BibRef

Xiang, Y., Alahi, A.[Alexandre], Savarese, S.[Silvio],
Learning to Track: Online Multi-object Tracking by Decision Making,
ICCV15(4705-4713)
IEEE DOI 1602
Decision making BibRef

Leal-Taixe, L.[Laura], Fenzi, M.[Michele], Kuznetsova, A.[Alina], Rosenhahn, B.[Bodo], Savarese, S.[Silvio],
Learning an Image-Based Motion Context for Multiple People Tracking,
CVPR14(3542-3549)
IEEE DOI 1409
image-based motion context BibRef

Wang, B.[Bing], Wang, G.[Gang], Chan, K.L.[Kap Luk], Wang, L.[Li],
Tracklet Association in Detect-Then-Track Paradigm for Long-Term Multi-person Tracking,
LTDT14(716-717)
IEEE DOI 1409
BibRef

Zhang, J.M.[Jian-Ming], lo Presti, L.[Liliana], Sclaroff, S.[Stan],
Online Multi-person Tracking by Tracker Hierarchy,
AVSS12(379-385).
IEEE DOI 1211
BibRef

Nie, W.Z.[Wei-Zhi], Liu, A.A.[An-An], Su, Y.T.[Yu-Ting],
Multiple Person Tracking by Spatiotemporal Tracklet Association,
AVSS12(481-486).
IEEE DOI 1211
BibRef

Jiang, X.Y.[Xiao-Yan], Rodner, E.[Erik], Denzler, J.[Joachim],
Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems,
ICCVG12(743-751).
Springer DOI 1210
BibRef

Piatkowska, E.[Ewa], Kogler, J., Belbachir, A.N.[Ahmed Nabil], Gelautz, M.[Margrit],
Improved Cooperative Stereo Matching for Dynamic Vision Sensors with Ground Truth Evaluation,
ECVW17(370-377)
IEEE DOI 1709
BibRef
Earlier: A1, A3, A4, Only:
Asynchronous Stereo Vision for Event-Driven Dynamic Stereo Sensor Using an Adaptive Cooperative Approach,
CDC4CV13(45-50)
IEEE DOI 1403
Biosensors, Cameras, Computer vision, Heuristic algorithms, Voltage control. BibRef

Piatkowska, E.[Ewa], Belbachir, A.N.[Ahmed Nabil], Schraml, S.[Stephan], Gelautz, M.[Margrit],
Spatiotemporal multiple persons tracking using Dynamic Vision Sensor,
ECVW12(35-40).
IEEE DOI 1207
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Heili, A.[Alexandre], Odobez, J.M.[Jean-Marc],
Parameter estimation and contextual adaptation for a multi-object tracking CRF model,
PETS13(14-21)
IEEE DOI 1411
object detection BibRef

Heili, A.[Alexandre], Chen, C.[Cheng], Odobez, J.M.[Jean-Marc],
Detection-based multi-human tracking using a CRF model,
VS11(1673-1680).
IEEE DOI 1201
BibRef

Luo, X.H.[Xing-Han], Tan, R.T.[Robby T.], Veltkamp, R.C.[Remco C.],
Multi-person tracking based on vertical reference lines and dynamic visibility analysis,
ICIP11(1877-1880).
IEEE DOI 1201
BibRef

Thaler, M.[Marcus], Bailer, W.[Werner],
Real-Time Person Detection and Tracking in Panoramic Video,
CVSports13(1027-1032)
IEEE DOI 1309
broadcast; detection; panoramic; sports; tracking BibRef

Thaler, M.[Marcus], Kaiser, R.[Rene], Bailer, W.[Werner], Kriechbaum, A.[Andreas],
Tracking Persons in Ultra-HD Panoramic Video,
MMMod12(633-635).
Springer DOI 1201
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Yeh, H.H.[Hsin-Ho], Chen, J.Y.[Jiun-Yu], Huang, C.R.[Chun-Rong], Chen, C.S.[Chu-Song],
An adaptive approach for overlapping people tracking based on foreground silhouettes,
ICIP10(3489-3492).
IEEE DOI 1009
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Galoogahi, H.K.,
Tracking Groups of People in Presence of Occlusion,
PSIVT10(438-443).
IEEE DOI 1011
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Zen, G.[Gloria], Lanz, O.[Oswald], Messelodi, S.[Stefano], Ricci, E.[Elisa],
Tracking Multiple People with Illumination Maps,
ICPR10(3484-3487).
IEEE DOI 1008
BibRef

Bütepage, J., Black, M.J., Kragic, D.[Danica], Kjellström, H.[Hedvig],
Deep Representation Learning for Human Motion Prediction and Classification,
CVPR17(1591-1599)
IEEE DOI 1711
Computational modeling, Correlation, Decoding, Encoding, Feature extraction, Hidden, Markov, models BibRef

Kjellstrom, H.[Hedvig], Kragic, D.[Danica], Black, M.J.[Michael J.],
Tracking people interacting with objects,
CVPR10(747-754).
IEEE DOI 1006
BibRef

Breitenstein, M.D.[Michael D.], Reichlin, F.[Fabian], Leibe, B.[Bastian], Koller-Meier, E.[Esther], Van Gool, L.J.[Luc J.],
Robust tracking-by-detection using a detector confidence particle filter,
ICCV09(1515-1522).
IEEE DOI 0909
multi-person tracking. Particle filter framework. BibRef

Ishiguro, K.[Katsuhiko], Yamada, T.[Takeshi], Ueda, N.[Naonori],
Simultaneous clustering and tracking unknown number of objects,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Apewokin, S., Valentine, B., Bales, M.R.[M. Ryan], Wills, L.M.[Linda M.], Wills, D.S.[D. Scott],
Tracking multiple pedestrians in real-time using kinematics,
EmbedCV08(1-6).
IEEE DOI 0806
BibRef

Boufama, B., Ali, M.A.,
Tracking Multiple People in the Context of Video Surveillance,
ICIAR07(581-592).
Springer DOI 0708
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Feldmann, T.[Tobias], Scheuermann, B.[Björn], Rosenhahn, B.[Bodo], Wörner, A.[Annika],
N-View Human Silhouette Segmentation in Cluttered, Partially Changing Environments,
DAGM10(363-372).
Springer DOI 1009
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Rosenhahn, B.[Bodo], Klette, R.[Reinhard], Sommer, G.[Gerald],
Silhouette Based Human Motion Estimation,
DAGM04(294-301).
Springer DOI 0505
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Girondel, V., Caplier, A., Bonnaud, L.,
Real time tracking of multiple persons by Kalman filtering and face pursuit for multimedia applications,
Southwest04(201-205).
IEEE DOI 0411
BibRef

Mori, T.[Taketoshi], Matsumoto, T.[Takashi], Shimosaka, M.[Masamichi], Noguchi, H.[Hiroshi], Sato, T.[Tomomasa],
Multiple Persons Tracking with Data Fusion of Multiple Cameras and Sensing Floor Using Particle Filters,
M2SFA208(xx-yy). 0810
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Harada, T.[Tatsuya], Sato, T.[Tomomasa], Mori, T.[Taketoshi],
Human Motion Tracking System Based on Skeleton and Surface Integration Model Using Pressure Sensors Distribtuion Bed,
HUMO00(99-106).
IEEE Top Reference. 0010
BibRef

Roh, H., Kang, S., Lee, S.W.,
Multiple People Tracking Using Appearance Model Based on Temporal Color,
ICPR00(Vol IV: 643-646).
IEEE DOI 0009
BibRef

Bernier, O.J.[Olivier J.], Collobert, M., Feraud, R., Lemaire, V., Viallet, J.E., Collobert, D.,
MULTRAK: a system for automatic multiperson localization and tracking in real-time,
ICIP98(I: 136-140).
IEEE DOI 9810
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Tracking People, Re-Identification Issues, Occlusions .