16.7.4.4.8 Re-Identification With Multiple Cameras

Chapter Contents (Back)
Motion, Human. Tracking. Re-Identification. For more specific disjoint view tracking, identification: See also Tracking People Across Disjoint Views, Re-Identification.

Lerasle, F., Rives, G., Dhome, M.,
Tracking of Human Limbs by Multiocular Vision,
CVIU(75), No. 3, September 1999, pp. 229-246.
DOI Link BibRef 9909
Earlier:
Human Body Limbs Tracking by Multi-Ocular Vision,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Lerasle, F., Rives, G., Dhome, M., Yassine, A.,
Human Body Tracking by Monocular Vision,
ECCV96(II:518-527).
Springer DOI Use the projection of the 3-D model of the leg. BibRef 9600

Dockstader, S.L.[Shiloh L.], Tekalp, A.M.[A. Murat],
Multiple camera tracking of interacting and occluded human motion,
PIEEE(89), No. 10, October 2001, pp. 1441-1455.
IEEE DOI 0110
BibRef

Dockstader, S.L.[Shiloh L.], Tekalp, A.M.[A. Murat],
On the Tracking of Articulated and Occluded Video Object Motion,
RealTimeImg(7), No. 5, October 2001, pp. 415-432.
DOI Link 0110
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Earlier:
Tracking Multiple Objects in the Presence of Articulated and Occluded Motion,
HUMO00(88-96).
IEEE Top Reference. 0010
See also Stochastic kinematic modeling and feature extraction for gait analysis. BibRef

Imennov, N.S., Dockstader, S.L., Tekalp, A.M.,
A robust bayesian network for articulated motion classification,
ICIP03(III: 305-308).
IEEE DOI 0312
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Ng, K.C.[Kim C.], Ishiguro, H.[Hiroshi], Trivedi, M.M.[Mohan M.], Sogo, T.[Takushi],
An integrated surveillance system: human tracking and view synthesis using multiple omni-directional vision sensors,
IVC(22), No. 7, July 2004, pp. 551-561.
Elsevier DOI 0405
BibRef

Sogo, T., Ishiguro, H., Trivedi, M.M.,
N-Ocular Stereo for Real-Time Human Tracking,
PV01(359-375). 0107
Panoramic Sensors. Tracking people with multiple omnidirectional cameras. See also Identifying and Localizing Robots with Omnidirectional Vision Sensors. BibRef

Sogo, T., Ishiguro, H., Trivedi, M.M.,
Real-Time Target Localization and Tracking by N-Ocular Stereo,
OMNIVIS00(xx-yy). 0012
BibRef

Mittal, A.[Anurag], Davis, L.S.[Larry S.],
M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene,
IJCV(51), No. 3, February-March 2003, pp. 189-203.
DOI Link 0301
BibRef
Earlier:
M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo,
ECCV02(I: 18 ff.).
Springer DOI 0205
BibRef

Cui, J.S.[Jin-Shi], Liu, Y.[Ye], Xu, Y., Zhao, H.J.[Hui-Jing], Zha, H.B.[Hong-Bin],
Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches,
SMCS(43), No. 4, 2013, pp. 996-1002.
IEEE DOI 1307
BibRef
And: A1, A4, A5, Plus: : Add First: Xu, Y.D.[Yuan-Dong], BMVC11(xx-yy).
HTML Version. 1110
BibRef

Liu, Y.[Ye], Cui, J.S.[Jin-Shi], Zhao, H.J.[Hui-Jing], Zha, H.B.[Hong-Bin],
Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking,
ICPR12(898-901).
WWW Link. 1302
Legged locomotion; human motion tracking BibRef

Hu, W.M.[Wei-Ming], Hu, M.[Min], Zhou, X.[Xue], Tan, T.N.[Tie-Niu], Lou, J.G.[Jian-Guang], Maybank, S.J.[Steve J.],
Principal Axis-Based Correspondence between Multiple Cameras for People Tracking,
PAMI(28), No. 4, April 2006, pp. 663-671.
IEEE DOI
PDF File. 0604
BibRef

Kehl, R.[Roland], Van Gool, L.J.[Luc J.],
Markerless tracking of complex human motions from multiple views,
CVIU(103), No. 2-3, November-December 2006, pp. 190-209.
Elsevier DOI 0611
Markerless tracking; Full body tracking; SMD; Multi-view tracking; Markerless motion capture; Multiple cues; Volumetric reconstruction BibRef

Kehl, R.[Roland], Bray, M.[Matthieu], Van Gool, L.J.[Luc J.],
Full Body Tracking from Multiple Views Using Stochastic Sampling,
CVPR05(II: 129-136).
IEEE DOI 0507
BibRef

Fleuret, F.[Francois], Berclaz, J.[Jerome], Lengagne, R.[Richard], Fua, P.[Pascal],
Multicamera People Tracking with a Probabilistic Occupancy Map,
PAMI(30), No. 2, February 2008, pp. 267-282.
IEEE DOI 0712
See also Multiple Object Tracking Using K-Shortest Paths Optimization. BibRef

Shitrit, H.B., Berclaz, J.[Jérôme], Fleuret, F.[François], Fua, P.[Pascal],
Multi-Commodity Network Flow for Tracking Multiple People,
PAMI(36), No. 8, August 2014, pp. 1614-1627.
IEEE DOI 1407
Linear programming BibRef

Berclaz, J.[Jérôme], Fleuret, F.[François], Fua, P.[Pascal],
Multi-camera Tracking and Atypical Motion Detection with Behavioral Maps,
ECCV08(III: 112-125).
Springer DOI 0810
BibRef
Earlier:
Robust People Tracking with Global Trajectory Optimization,
CVPR06(I: 744-750).
IEEE DOI 0606
BibRef

Fleuret, F.[Francois], Lengagne, R.[Richard], Fua, P.[Pascal],
Fixed Point Probability Field for Complex Occlusion Handling,
ICCV05(I: 694-700).
IEEE DOI 0510
Multi-camera tracking of people. BibRef

Tresadern, P.A.[Philip A.], Reid, I.D.[Ian D.],
Camera calibration from human motion,
IVC(26), No. 6, 1 June 2008, pp. 851-862.
Elsevier DOI 0804
BibRef
Earlier:
An Evaluation of Shape Descriptors for Image Retrieval in Human Pose Estimation,
BMVC07(xx-yy).
PDF File. 0709
BibRef
Earlier:
Uncalibrated and unsynchronized human motion capture: A Stereo Factorization Approach,
CVPR04(I: 128-134).
IEEE DOI 0408
Self-calibration; Human motion analysis BibRef

Tresadern, P.A.[Philip A.], Reid, I.D.[Ian D.],
Video synchronization from human motion using rank constraints,
CVIU(113), No. 8, August 2009, pp. 891-906.
Elsevier DOI 0906
BibRef
Earlier:
Synchronizing Image Sequences of Non-Rigid Objects,
BMVC03(xx-yy).
HTML Version. 0409
Video synchronization; Structure from motion BibRef

Calderara, S.[Simone], Cucchiara, R.[Rita], Prati, A.[Andrea],
Bayesian-Competitive Consistent Labeling for People Surveillance,
PAMI(30), No. 2, February 2008, pp. 354-360.
IEEE DOI 0712
BibRef
Earlier:
A Dynamic Programming Technique for Classifying Trajectories,
CIAP07(137-142).
IEEE DOI 0709
BibRef
Earlier:
Group Detection at Camera Handoff for Collecting People Appearance in Multi-camera Systems,
AVSBS06(36-36).
IEEE DOI 0611
BibRef
And:
A Distributed Outdoor Video Surveillance System for Detection of Abnormal People Trajectories,
ICDSC07(364-371).
IEEE DOI 0709
BibRef

Calderara, S.[Simone], Cucchiara, R.[Rita], Prati, A.[Andrea],
Action Signature: A Novel Holistic Representation for Action Recognition,
AVSBS08(121-128).
IEEE DOI 0809
See also Commentary Paper 2 on Action Signature: A Novel Holistic Representation for Action Recognition. See also Commentary Paper 1 on Action Signature: A Novel Holistic Representation for Action Recognition. BibRef

Calderara, S.[Simone], Prati, A.[Andrea], Cucchiara, R.[Rita],
Mixtures of von Mises Distributions for People Trajectory Shape Analysis,
CirSysVideo(21), No. 4, April 2011, pp. 457-471.
IEEE DOI 1104
BibRef
Earlier:
Alignment-Based Similarity of People Trajectories Using Semi-directional Statistics,
ICPR10(4275-4278).
IEEE DOI 1008
BibRef
Earlier:
Learning People Trajectories Using Semi-directional Statistics,
AVSBS09(213-218).
IEEE DOI 0909
BibRef
Earlier: A2, A1, A3:
Using circular statistics for trajectory shape analysis,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Calderara, S.[Simone], Cucchiara, R.[Rita],
Understanding dyadic interactions applying proxemic theory on video-surveillance trajectories,
SISM12(20-27).
IEEE DOI 1207
BibRef
And:
People trajectory mining with statistical pattern recognition,
SISM10(1-8).
IEEE DOI 1006
BibRef

Calderara, S.[Simone], Prati, A.[Andrea], Cucchiara, R.[Rita],
A markerless approach for consistent action recognition in a multi-camera system,
ICDSC08(1-8).
IEEE DOI 0809
BibRef

Calderara, S.[Simone], Heinemann, U.[Uri], Prati, A.[Andrea], Cucchiara, R.[Rita], Tishby, N.[Naftali],
Detecting anomalies in people's trajectories using spectral graph analysis,
CVIU(115), No. 8, August 2011, pp. 1099-1111.
Elsevier DOI 1101
Spectral graph theory; Trajectory analysis; Video surveillance; Anomaly detection BibRef

Calderara, S., Prati, A., Cucchiara, R.,
Integrate tool for online analysis and offline mining of people trajectories,
IET-CV(6), No. 4, 2012, pp. 334-347.
DOI Link 1209
BibRef

Calderara, S.[Simone], Cucchiara, R.[Rita], Prati, A.[Andrea],
Detection of abnormal behaviors using a mixture of Von Mises distributions,
AVSBS07(141-146).
IEEE DOI 0709
BibRef
Earlier:
Multimedia surveillance: content-based retrieval with multicamera people tracking,
VSSN06(95-100).
WWW Link. 0701
BibRef

Baltieri, D.[Davide], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Mapping Appearance Descriptors on 3D Body Models for People Re-identification,
IJCV(111), No. 3, February 2015, pp. 345-364.
Springer DOI 1503
BibRef
Earlier:
SARC3D: A New 3D Body Model for People Tracking and Re-identification,
CIAP11(I: 197-206).
Springer DOI 1109
BibRef

Vezzani, R.[Roberto], Baltieri, D.[Davide], Cucchiara, R.[Rita],
Pathnodes Integration of Standalone Particle Filters for People Tracking on Distributed Surveillance Systems,
CIAP09(404-413).
Springer DOI 0909
BibRef

Calderara, S.[Simone], Vezzani, R., Prati, A.[Andrea], Cucchiara, R.[Rita],
Entry edge of field of view for multi-camera tracking in distributed video surveillance,
AVSBS05(93-98).
IEEE DOI 0602
BibRef
And: A1, A3, A2, A4:
Consistent Labeling for Multi-camera Object Tracking,
CIAP05(1206-1214).
Springer DOI 0509
BibRef

Calderara, S.[Simone], Prati, A.[Andrea], Cucchiara, R.[Rita],
HECOL: Homography and epipolar-based consistent labeling for outdoor park surveillance,
CVIU(111), No. 1, July 2008, pp. 21-42.
Elsevier DOI 0711
Video surveillance; Consistent labeling; Background suppression; Homography; People detection and tracking BibRef

Zou, X.T.[Xiao-Tao], Bhanu, B.[Bir], Roy-Chowdhury, A.K.[Amit K.],
Continuous Learning of a Multilayered Network Topology in a Video Camera Network,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 1002
BibRef

Zou, X.T.[Xiao-Tao], Bhanu, B.[Bir], Song, B.[Bi], Roy-Chowdhury, A.K.[Amit K.],
Determining Topology in a Distributed Camera Network,
ICIP07(V: 133-136).
IEEE DOI 0709
See also Stochastic Adaptive Tracking In A Camera Network. BibRef

Nayak, J.[Jayanth], Gonzalez-Argueta, L.[Luis], Song, B.[Bi], Roy-Chowdhury, A.[Amit], Tuncel, E.[Ertem],
Multi-target tracking through opportunistic camera control in a resource constrained multimodal sensor network,
ICDSC08(1-10).
IEEE DOI 0809
BibRef

Soto, C.[Cristian], Song, B.[Bi], Roy-Chowdhury, A.K.[Amit K.],
Distributed multi-target tracking in a self-configuring camera network,
CVPR09(1486-1493).
IEEE DOI 0906
BibRef

Kamal, A.T.[Ahmed T.], Bappy, J.H., Farrell, J.A.[Jay A.], Roy-Chowdhury, A.K.[Amit K.],
Distributed Multi-Target Tracking and Data Association in Vision Networks,
PAMI(38), No. 7, July 2016, pp. 1397-1410.
IEEE DOI 1606
BibRef
Earlier: A1, A3, A4, Only:
Information Consensus for Distributed Multi-target Tracking,
CVPR13(2403-2410)
IEEE DOI 1309
Kalman filter BibRef

Song, B.[Bi], Soto, C.[Cristian], Roy-Chowdhury, A.K.[Amit K.], Farrell, J.A.[Jay A.],
Decentralized camera network control using game theory,
ICDSC08(1-8).
IEEE DOI 0809
BibRef

Song, B.[Bi], Kamal, A.T., Soto, C.[Cristian], Ding, C., Farrell, J.A.[Jay A.], Roy-Chowdhury, A.K.[Amit K.],
Tracking and Activity Recognition Through Consensus in Distributed Camera Networks,
IP(19), No. 10, October 2010, pp. 2564-2579.
IEEE DOI 1003
See also Distributed Camera Networks. BibRef

Ding, C.[Chong], Bappy, J.H., Farrell, J.A.[Jay A.], Roy-Chowdhury, A.K.[Amit K.],
Opportunistic Image Acquisition of Individual and Group Activities in a Distributed Camera Network,
CirSysVideo(27), No. 3, March 2017, pp. 664-672.
IEEE DOI 1703
Cameras BibRef

Ding, C.[Chong], Song, B.[Bi], Morye, A., Farrell, J.A.[Jay A.], Roy-Chowdhury, A.K.[Amit K.],
Collaborative Sensing in a Distributed PTZ Camera Network,
IP(21), No. 7, July 2012, pp. 3282-3295.
IEEE DOI 1206
See also Distributed Camera Networks. BibRef

del Bimbo, A.[Alberto], Dini, F.[Fabrizio], Lisanti, G., Pernici, F.[Federico],
Exploiting distinctive visual landmark maps in pan-tilt-zoom camera networks,
CVIU(114), No. 6, June 2010, pp. 611-623.
Elsevier DOI 1006
Pan-tilt-zoom camera; Rotating and zooming camera; Camera networks; Distinctive keypoints; Tracking; Master-slave configuration See also Continuous localization and mapping of a pan-tilt-zoom camera for wide area tracking. BibRef

del Bimbo, A.[Alberto], Dini, F.[Fabrizio], Grifoni, A.[Andrea], Pernici, F.[Federico],
Exploiting Single View Geometry in Pan-Tilt-Zoom Camera Networks,
M2SFA208(xx-yy). 0810
BibRef

del Bimbo, A.[Alberto], Franco, F.[Fernando], Pernici, F.[Federico],
Local shape estimation from a single keypoint,
NORDIA10(23-28).
IEEE DOI 1006
BibRef

del Bimbo, A.[Alberto], Lisanti, G.[Giuseppe], Pernici, F.[Federico],
Scale invariant 3D multi-person tracking using a base set of bundle adjusted visual landmarks,
VS09(1121-1128).
IEEE DOI 0910
BibRef

del Bimbo, A.[Alberto], Pernici, F.[Federico],
Uncalibrated 3D Human Tracking with A PTZ-Camera Viewing A Plane,
3DTV08(281-284).
IEEE DOI 0805
BibRef

Eshel, R.[Ran], Moses, Y.[Yael],
Tracking in a Dense Crowd Using Multiple Cameras,
IJCV(88), No. 1, May 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Homography based multiple camera detection and tracking of people in a dense crowd,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Bellotto, N.[Nicola], Benfold, B.[Ben], Harland, H.[Hanno], Nagel, H.H.[Hans-Hellmut], Pirlo, N.[Nicola], Reid, I.D.[Ian D.], Sommerlade, E.[Eric], Zhao, C.[Chuan],
Cognitive visual tracking and camera control,
CVIU(116), No. 3, March 2012, pp. 457-471.
Elsevier DOI 1201
Cognitive vision; Human tracking; Active cameras BibRef

Santos, T.T.[Thiago T.], Morimoto, C.H.[Carlos H.],
Multiple camera people detection and tracking using support integration,
PRL(31), No. 1, January 2010, pp. 47-55.
Elsevier DOI 1011
People tracking; Multiple view integration; Video surveillance and monitoring; Homography constraint BibRef

Zabulis, X.[Xenophon], Grammenos, D.[Dimitris], Sarmis, T.[Thomas], Tzevanidis, K.[Konstantinos], Padeleris, P.[Pashalis], Koutlemanis, P.[Panagiotis], Argyros, A.A.[Antonis A.],
Multicamera human detection and tracking supporting natural interaction with large-scale displays,
MVA(24), No. 2, February 2013, pp. 319-336.
WWW Link. 1302
BibRef
Earlier: A1, A3, A4, A6, A2, A7, Only:
A Platform for Monitoring Aspects of Human Presence in Real-Time,
ISVC10(II: 584-595).
Springer DOI 1011
BibRef

Li, W.[Wei], Wu, Y.[Yang], Mukunoki, M.[Masayuki], Minoh, M.[Michihiko],
Bi-level Relative Information Analysis for Multiple-Shot Person Re-Identification,
IEICE(E96-D), No. 11, November 2013, pp. 2450-2461.
WWW Link. 1311
BibRef

Wu, Y.[Yang], Li, W.[Wei], Mukunoki, M.[Masayuki], Minoh, M.[Michihiko], Lao, S.H.[Shi-Hong],
Discriminative Collaborative Representation for Classification,
ACCV14(IV: 205-221).
Springer DOI 1504
BibRef

Wu, Y.[Yang], Minoh, M.[Michihiko], Mukunoki, M.[Masayuki], Lao, S.H.[Shi-Hong],
Set Based Discriminative Ranking for Recognition,
ECCV12(III: 497-510).
Springer DOI 1210
Face and body representations. BibRef

Wu, Y.[Yang], Mukunoki, M.[Masayuki], Minoh, M.[Michihiko],
Locality-Constrained Collaborative Sparse Approximation for Multiple-Shot Person Re-identification,
ACPR13(140-144)
IEEE DOI 1408
approximation theory BibRef

Wu, Y.[Yang], Minoh, M.[Michihiko], Mukunoki, M.[Masayuki], Li, W.[Wei], Lao, S.H.[Shi-Hong],
Collaborative Sparse Approximation for Multiple-Shot Across-Camera Person Re-identification,
AVSS12(209-214).
IEEE DOI 1211
BibRef

Li, W.[Wei], Mukunoki, M.[Masayuki], Kuang, Y.H.[Ying-Hui], Wu, Y.[Yang], Minoh, M.[Michihiko],
Person Re-Identification by Common-Near-Neighbor Analysis,
IEICE(E97-D), No. 11, November 2014, pp. 2935-2946.
WWW Link. 1412
BibRef
Earlier: A1, A4, A2, A5, Only:
Locality based discriminative measure for multiple-shot person re-identification,
AVSS13(312-317)
IEEE DOI 1311
BibRef
Earlier: A1, A4, A2, A5, Only:
Common-near-neighbor analysis for person re-identification,
ICIP12(1621-1624).
IEEE DOI 1302
image matching BibRef

Wu, Y.[Yang], Mukunoki, M., Funatomi, T., Minoh, M., Lao, S.H.[Shi-Hong],
Optimizing Mean Reciprocal Rank for person re-identification,
MMSysS11(408-413).
IEEE DOI 1111
BibRef

Liem, M.C.[Martijn C.], Gavrila, D.M.[Dariu M.],
Joint multi-person detection and tracking from overlapping cameras,
CVIU(128), No. 1, 2014, pp. 36-50.
Elsevier DOI 1410
BibRef
Earlier:
Multi-person Localization and Track Assignment in Overlapping Camera Views,
DAGM11(173-183).
Springer DOI 1109
BibRef
Earlier:
Multi-person tracking with overlapping cameras in complex, dynamic environments,
BMVC09(xx-yy).
PDF File. Video:
WWW Link. 0909
Person tracking estimation theory BibRef

Liem, M.C.[Martijn C.], Gavrila, D.M.[Dariu M.],
Coupled person orientation estimation and appearance modeling using spherical harmonics,
IVC(32), No. 10, 2014, pp. 728-738.
Elsevier DOI 1410
BibRef
Earlier:
Person appearance modeling and orientation estimation using Spherical Harmonics,
FG13(1-6)
IEEE DOI 1309
Person appearance modeling BibRef

Zhang, G.W.[Guan-Wen], Kato, J.[Jien], Wang, Y.[Yu], Mase, K.[Kenji],
Multiple-Shot People Re-Identification by Patch-Wise Learning,
IEICE(E98-D), No. 12, December 2015, pp. 2257-2270.
WWW Link. 1601
BibRef
Earlier:
People re-identification using two-stage transfer metric learning,
MVA15(588-591)
IEEE DOI 1507
Cameras BibRef

Thakoor, N.S.[Ninad S.], An, L.[Le], Bhanu, B., Sunderrajan, S., Manjunath, B.S.,
People Tracking in Camera Networks: Three Open Questions,
Computer(48), No. 3, March 2015, pp. 78-86.
IEEE DOI 1504
object tracking BibRef

Xie, Y.[Yi], Yu, H.M.[Hui-Min], Gong, X.J.[Xiao-Jin], Dong, Z.J.[Zhen-Jiang], Gao, Y.[Yan],
Learning Visual-Spatial Saliency for Multiple-Shot Person Re-Identification,
SPLetters(22), No. 11, November 2015, pp. 1854-1858.
IEEE DOI 1509
graph theory BibRef

Chattopadhyay, P.[Pratik], Sural, S.[Shamik], Mukherjee, J.[Jayanta],
Information fusion from multiple cameras for gait-based re-identification and recognition,
IET-IPR(9), No. 11, 2015, pp. 969-976.
DOI Link 1511
See also Frontal gait recognition from occluded scenes. feature extraction BibRef

Martinel, N.[Niki],
On a Distributed Video Surveillance System to Track Persons in Camera Networks,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Zhou, Z.[Zhi], Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
A framework for semantic people description in multi-camera surveillance systems,
IVC(46), No. 1, 2016, pp. 29-46.
Elsevier DOI 1603
People re-identification BibRef

Niño-Castañeda, J., Frías-Velázquez, A., Bo, N.B.[N. Bo], Slembrouck, M., Guan, J., Debard, G., Vanrumste, B., Tuytelaars, T., Philips, W.[Wilfried],
Scalable Semi-Automatic Annotation for Multi-Camera Person Tracking,
IP(25), No. 5, May 2016, pp. 2259-2274.
IEEE DOI 1604
Cameras BibRef

Eldib, M.[Mohamed], Bo, N.B.[Nyan Bo], Deboeverie, F.[Francis], Nino, J.[Jorge], Guan, J.Z.[Jun-Zhi], van de Velde, S.[Samuel], Steendam, H.[Heidi], Aghajan, H.[Hamid], Philips, W.[Wilfried],
A low resolution multi-camera system for person tracking,
ICIP14(378-382)
IEEE DOI 1502
Cameras BibRef

Pham, T.T.T.[Thi Thanh Thuy], Le, T.L.[Thi-Lan], Vu, H.[Hai], Dao, T.K.[Trung Kien], Nguyen, V.T.[Van Toi],
Fully-automated person re-identification in multi-camera surveillance system with a robust kernel descriptor and effective shadow removal method,
IVC(59), No. 1, 2017, pp. 44-62.
Elsevier DOI 1704
Person Re-ID BibRef

Ghaneizad, M.[Maryam], Kavehvash, Z.[Zahra], Aghajan, H.[Hamid],
Human detection in occluded scenes through optically inspired multi-camera image fusion,
JOSA-A(34), No. 6, June 2017, pp. 856-869.
DOI Link 1706
Image reconstruction-restoration, Three-dimensional image processing, Three-dimensional image acquisition, Detection BibRef

Zhao, C.R.[Cai-Rong], Wang, X.K.[Xue-Kuan], Miao, D.Q.[Duo-Qian], Wang, H.[Hanli], Zheng, W.[Weishi], Xu, Y.[Yong], Zhang, D.[David],
Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification,
PR(79), 2018, pp. 79-96.
Elsevier DOI 1804
Person re-identification, Maximal granularity structure descriptor, Representation consistency BibRef

Xin, X.M.[Xiao-Meng], Wang, J.J.[Jin-Jun], Xie, R.J.[Ru-Ji], Zhou, S.P.[San-Ping], Huang, W.L.[Wen-Li], Zheng, N.N.[Nan-Ning],
Semi-supervised person re-identification using multi-view clustering,
PR(88), 2019, pp. 285-297.
Elsevier DOI 1901
Person re-identification, Semi-supervised learning, Convolutional neural network, Multi-view clustering BibRef

Zhou, S.[Shuren], Ke, M.L.[Mao-Lin], Luo, P.[Peng],
Multi-camera transfer GAN for person re-identification,
JVCIR(59), 2019, pp. 393-400.
Elsevier DOI 1903
Generative adversarial networks, Deep learning, Computer vision, Person re-identification BibRef

Cho, Y.J.[Yeong-Jun], Kim, S.A.[Su-A], Park, J.H.[Jae-Han], Lee, K.[Kyuewang], Yoon, K.J.[Kuk-Jin],
Joint person re-identification and camera network topology inference in multiple cameras,
CVIU(180), 2019, pp. 34-46.
Elsevier DOI 1903
BibRef

Yuan, M.Y.[Ming-Yue], Yin, D.[Dong], Ding, J.W.[Jin-Wen], Zhou, Z.P.[Zhi-Peng], Zhu, C.F.[Cheng-Feng], Zhang, R.[Rui], Wang, A.[An],
A multi-image Joint Re-ranking framework with updateable Image Pool for person re-identification,
JVCIR(59), 2019, pp. 527-536.
Elsevier DOI 1903
Person re-identification, Image pool, Multi-shot, Re-ranking BibRef

Wei, L., Zhang, S., Yao, H., Gao, W., Tian, Q.,
GLAD: Global-Local-Alignment Descriptor for Scalable Person Re-Identification,
MultMed(21), No. 4, April 2019, pp. 986-999.
IEEE DOI 1903
Robustness, Feature extraction, Cameras, Measurement, Indexing, Task analysis, Machine learning, retrieval framework BibRef

Nguyen, T.B.[Thuy-Binh], Le, T.L.[Thi-Lan], Pham, N.N.[Ngoc-Nam],
Images-to-images person ReID without temporal linking,
IJCVR(9), No. 2, 2019, pp. 152-171.
DOI Link 1904
BibRef

Sun, C.C.[Chi-Chia], Sheu, M.H.[Ming-Hwa], Chi, J.Y.[Jui-Yang], Huang, Y.K.[Yan-Kai],
A Fast Non-Overlapping Multi-Camera People Re-Identification Algorithm and Tracking Based on Visual Channel Model,
IEICE(E102-D), No. 7, July 2019, pp. 1342-1348
WWW Link. 1907
BibRef

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Adaptation of person re-identification models for on-boarding new camera(s),
PR(96), 2019, pp. 106991.
Elsevier DOI 1909
Person re-identification, Camera network, Model adaptation, Limited supervision, Camera on-boarding, BibRef

McLaughlin, N., del Rincon, J.M., Miller, P.,
Video Person Re-Identification for Wide Area Tracking Based on Recurrent Neural Networks,
CirSysVideo(29), No. 9, September 2019, pp. 2613-2626.
IEEE DOI 1909
Cameras, Feature extraction, Image color analysis, Neural networks, Optical imaging, Optical network units, Video sequences, wide area tracking BibRef

Narayan, N.[Neeti], Sankaran, N.[Nishant], Setlur, S.[Srirangaraj], Govindaraju, V.[Venu],
Learning deep features for online person tracking using non-overlapping cameras: A survey,
IVC(89), 2019, pp. 222-235.
Elsevier DOI 1909
Survey, Re-Identification. Online person tracking, Re-identification, Surveillance, Deep features, Recurrent neural network BibRef

Feng, Z., Lai, J., Xie, X.,
Learning Modality-Specific Representations for Visible-Infrared Person Re-Identification,
IP(29), No. 1, 2020, pp. 579-590.
IEEE DOI 1910
cameras, feature extraction, image classification, image matching, image representation, infrared imaging, cross-modality constraint BibRef

Lin, Y.T.[Yu-Tian], Zheng, Z.D.[Zhe-Dong], Zhang, H.[Hong], Gao, C.Q.[Chen-Qiang], Yang, Y.[Yi],
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PRL(130), 2020, pp. 284-292.
Elsevier DOI 2002
Person re-identification, Re-rank, Query expansion BibRef

Zheng, A.[Aihua], Li, H.C.[Hong-Chao], Jiang, B.[Bo], Zheng, W.S.[Wei-Shi], Luo, B.[Bin],
Joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification,
PR(104), 2020, pp. 107352.
Elsevier DOI 2005
Person re-identification, Sparse ranking, Joint graph regularization BibRef

Qi, L., Wang, L., Huo, J., Shi, Y., Gao, Y.,
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification,
CirSysVideo(30), No. 9, September 2020, pp. 2815-2829.
IEEE DOI 2009
Cameras, Training, Task analysis, Semisupervised learning, Manuals, Lighting, Image resolution, Person re-identification, progressive cross-camera soft-label learning BibRef

Chen, S., Fan, Z., Yin, J.,
Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification,
SPLetters(27), 2020, pp. 1460-1464.
IEEE DOI 2009
Training, Feature extraction, Robustness, Measurement, Clustering algorithms, Adaptation models, Task analysis, Local information BibRef


Yuan, Y., Chen, W., Chen, T., Yang, Y., Ren, Z., Wang, Z., Hua, G.,
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification,
WACV20(3578-3587)
IEEE DOI 2006
Cameras, Training, Benchmark testing, Feature extraction, Urban areas, Histograms, Adaptation models BibRef

Zhu, X., Zhu, X., Li, M., Murino, V., Gong, S.,
Intra-Camera Supervised Person Re-Identification: A New Benchmark,
RLQ19(1079-1087)
IEEE DOI 2004
cameras, image representation, learning (artificial intelligence), neural nets, intra camera supervised re identification BibRef

Wang, Z.X.[Zhi-Xiang], Wang, Z.[Zheng], Zheng, Y.Q.[Yin-Qiang], Chuang, Y.Y.[Yung-Yu], Satoh, S.[Shin'ichi],
Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification,
CVPR19(618-626).
IEEE DOI 2002
BibRef

Wang, Y., Wang, L., You, Y., Zou, X., Chen, V., Li, S., Huang, G., Hariharan, B., Weinberger, K.Q.,
Resource Aware Person Re-identification Across Multiple Resolutions,
CVPR18(8042-8051)
IEEE DOI 1812
Task analysis, Measurement, Image color analysis, Feature extraction, Cognition, Semantics, Computer architecture BibRef

Zhang, J., Wang, N., Zhang, L.,
Multi-shot Pedestrian Re-identification via Sequential Decision Making,
CVPR18(6781-6789)
IEEE DOI 1812
Feature extraction, Task analysis, Measurement, Aggregates, Decision making BibRef

Qian, X.L.[Xue-Lin], Fu, Y.W.[Yan-Wei], Xiang, T.[Tao], Wang, W.X.[Wen-Xuan], Qiu, J.[Jie], Wu, Y.[Yang], Gang, Y.[Yu], Xue, X.Y.[Xiang-Yang],
Pose-Normalized Image Generation for Person Re-Identification,
ECCV18(IX: 661-678).
Springer DOI 1810
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Belmonte-Hernández, A., Solachidis, V., Theodoridis, T., Hernández-Peñaloza, G., Conti, G., Vretos, N., Álvarez, F., Daras, P.,
Person tracking association using multi-modal systems,
AVSS17(1-6)
IEEE DOI 1806
calibration, feature extraction, image matching, image sensors, object tracking, sensors, Kinect skeleton, Kinect v2 device, Wrist BibRef

Chen, J.X.[Jia-Xin], Wang, Y.H.[Yun-Hong], Qin, J.[Jie], Liu, L.[Li], Shao, L.[Ling],
Fast Person Re-identification via Cross-Camera Semantic Binary Transformation,
CVPR17(5330-5339)
IEEE DOI 1711
Binary codes, Encoding, Optimization, Robustness, Semantics, Transforms BibRef

Beyer, L., Breuers, S., Kurin, V., Leibe, B.,
Towards a Principled Integration of Multi-camera Re-identification and Tracking Through Optimal Bayes Filters,
Re-Id17(1444-1453)
IEEE DOI 1709
Cameras, Computational modeling, Current measurement, Data models, Detectors, Mathematical model, Tracking BibRef

Narayan, N., Sankaran, N., Arpit, D., Dantu, K., Setlur, S., Govindaraju, V.,
Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association,
Biometrics17(566-572)
IEEE DOI 1709
Cameras, Face, Feature extraction, Inference algorithms, Target tracking, Videos BibRef

Wu, C.W., Zhong, M.T., Tsao, Y., Yang, S.W., Chen, Y.K., Chien, S.Y.,
Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification,
Re-Id17(1416-1424)
IEEE DOI 1709
Cameras, Measurement uncertainty, Pipelines, Target tracking, Time measurement, Trajectory BibRef

Gou, M., Karanam, S., Liu, W., Camps, O., Radke, R.J.,
DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset,
Re-Id17(1425-1434)
IEEE DOI 1709
Dataset, Re-Identification. Airports, Benchmark testing, Cameras, Detectors, Feature extraction, Measurement, Surveillance BibRef

He, W.X.[Wei-Xiong], Chen, Y.C., Lai, J.H.,
Cross-view transformation based sparse reconstruction for person re-identification,
ICPR16(3410-3415)
IEEE DOI 1705
Cameras, Image reconstruction, Measurement, Optimization, Probes, Reliability, Testing BibRef

Xu, Y., Liu, X., Liu, Y., Zhu, S.C.,
Multi-view People Tracking via Hierarchical Trajectory Composition,
CVPR16(4256-4265)
IEEE DOI 1612
BibRef

Wang, J., Zhu, X., Gong, S., Li, W.,
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-identification,
CVPR18(2275-2284)
IEEE DOI 1812
Data models, Cameras, Adaptation models, Task analysis, Training, Training data BibRef

Peng, P., Xiang, T., Wang, Y., Pontil, M., Gong, S., Huang, T., Tian, Y.,
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification,
CVPR16(1306-1315)
IEEE DOI 1612
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McLaughlin, N., Martinez-del-Rincon, J.[Jesus], Miller, P.,
Recurrent Convolutional Network for Video-Based Person Re-identification,
CVPR16(1325-1334)
IEEE DOI 1612
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Cheng, D., Gong, Y., Zhou, S., Wang, J., Zheng, N.,
Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function,
CVPR16(1335-1344)
IEEE DOI 1612
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You, J., Wu, A., Li, X., Zheng, W.S.,
Top-Push Video-Based Person Re-identification,
CVPR16(1345-1353)
IEEE DOI 1612
BibRef

Chakraborty, A., Mandal, B., Galoogahi, H.K.,
Person re-identification using multiple first-person-views on wearable devices,
WACV16(1-8)
IEEE DOI 1606
Biomedical monitoring BibRef

Huang, W.X.[Wen-Xin], Hu, R.[Ruimin], Liang, C.[Chao], Yu, Y.[Yi], Wang, Z.[Zheng], Zhong, X.[Xian], Zhang, C.J.[Chun-Jie],
Camera Network Based Person Re-identification by Leveraging Spatial-Temporal Constraint and Multiple Cameras Relations,
MMMod16(I: 174-186).
Springer DOI 1601
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Hosono, T.[Takashi], Takahashi, T.[Tomokazu], Deguchi, D.[Daisuke], Ide, I.[Ichiro], Murase, H.[Hiroshi], Aizawa, T.[Tomoyoshi], Kawade, M.[Masato],
Human Tracking Using a Far-Infrared Sensor Array and a Thermo-Spatial Sensitive Histogram,
UCCV14(262-274).
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Robust Multi-camera People Tracking Using Maximum Likelihood Estimation,
ACIVS13(584-595).
Springer DOI 1311
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Yu, S.I.[Shoou-I], Yang, Y.[Yi], Hauptmann, A.G.[Alexander G.],
Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization,
CVPR13(3714-3720)
IEEE DOI 1309
Multi-Camera Tracking; Multi-Object Tracking; Semi-Supervised Learning BibRef

Hu, T.[Tao], Mutlu, S.[Sinan], Lanz, O.[Oswald],
Multicamera People Tracking Using a Locus-based Probabilistic Occupancy Map,
CIAP13(II:693-702).
Springer DOI 1309
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Kang, B.D.[Byoung-Doo], Jeon, K.H.[Kye-Hoon], Kyoung, D.[Dongwuk], Kim, S.H.[Seuing-Hun], Hwang, J.H.[Jung-Hoon],
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AIPR11(1-4).
IEEE DOI 1204
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Hofmann, M.[Martin], Rigoll, G.[Gerhard],
Exploiting gradient histograms for gait-based person identification,
ICIP13(4171-4175)
IEEE DOI 1402
Biometrics BibRef

Hofmann, M.[Martin], Kiechle, M.[Martin], Rigoll, G.[Gerhard],
Late fusion for person detection in camera networks,
CNWASA11(41-46).
IEEE DOI 1106
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Havasi, L.[Laszlo], Szlavik, Z.[Zoltan],
A method for object localization in a multiview multimodal camera system,
OTCBVS11(96-103).
IEEE DOI 1106
BibRef
Earlier:
A statistical method for object localization in multi-camera tracking,
ICIP10(3925-3928).
IEEE DOI 1009
BibRef
Earlier:
Using location and motion statistics for the localization of moving objects in multiple camera surveillance videos,
VS09(1275-1281).
IEEE DOI 0910
BibRef

Kwolek, B.[Bogdan],
Multiple views based human motion tracking in surveillance videos,
MultiCamera11(492-497).
IEEE DOI 1111
BibRef
Earlier:
Multi Camera-Based Person Tracking Using Region Covariance and Homography Constraint,
AVSS10(294-299).
IEEE DOI 1009
BibRef

Arsic, D.[Dejan], Lyutskanov, A.[Atanas], Rigoll, G.[Gerhard], Kwolek, B.[Bogdan],
Multi camera person tracking applying a graph-cuts based foreground segmentation in a homography framework,
PETS-Winter09(1-8).
IEEE DOI 0912
BibRef

Krahnstoever, N., Yu, T., Patwardhan, K.A., Gao, D.,
Multi-camera person tracking in crowded environments,
PETS-Winter09(1-7).
IEEE DOI 0912
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Cho, S.H.[Shung Han], Hong, S.J.[Sang-Jin], Nam, Y.Y.[Yun-Young],
Association and Identification in Heterogeneous Sensors Environment with Coverage Uncertainty,
AVSBS09(553-558).
IEEE DOI 0909
BibRef

Fiscus, J.[Jonathan], Garofolo, J.[John], Rose, T.[Travis], Michel, M.[Martial],
AVSS Multiple Camera Person Tracking Challenge Evaluation Overview,
AVSBS09(219-219).
IEEE DOI 0909
BibRef

Monari, E.[Eduardo], Maerker, J.[Jochen], Kroschel, K.[Kristian],
A Robust and Efficient Approach for Human Tracking in Multi-camera Systems,
AVSBS09(134-139).
IEEE DOI 0909
BibRef

Moschini, D.[Davide], Fusiello, A.[Andrea],
Tracking Human Motion with Multiple Cameras Using an Articulated Model,
MIRAGE09(1-12).
Springer DOI 0905
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Schauerte, B., Plötz, T., Fink, G.A.[Gernot A.],
A Multi-modal Attention System for Smart Environments,
CVS09(73-83).
Springer DOI 0910
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Moller, B.[Birgit], Plotz, T.[Thomas], Fink, G.A.[Gernot A.],
Calibration-free camera hand-over for fast and reliable person tracking in multi-camera setups,
ICPR08(1-4).
IEEE DOI 0812
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Nicolescu, M.[Mircea],
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AVSBS08(129-129).
IEEE DOI 0809
See also Action Signature: A Novel Holistic Representation for Action Recognition. BibRef

Brémond, F.[François], Kaâniche, M.B.[Mohamed Bécha],
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AVSBS08(130-131).
IEEE DOI 0809
See also Action Signature: A Novel Holistic Representation for Action Recognition. BibRef

Quinn, M.J.[Michael J.], Kuo, T.[Thomas], Manjunath, B.S.,
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ICIP08(1976-1979).
IEEE DOI 0810
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Pham, T.V., Worring, M., Smeulders, A.W.M.[Arnold W.M.],
A Multi-Camera Visual Surveillance System for Tracking of Reoccurrences of People,
ICDSC07(164-169).
IEEE DOI 0709
BibRef

Iwaki, H.[Hidekazu], Srivastava, G.[Gaurav], Kosaka, A.[Akio], Park, J.[Johnny], Kak, A.C.[Avinash C.],
A novel evidence accumulation framework for robust multi-camera person detection,
ICDSC08(1-10).
IEEE DOI
PDF File. 0809
BibRef

Schreiber, S.[Sascha], Stormer, A.[Andre], Rigoll, G.[Gerhard],
Omnidirectional tracking and recognition of persons in planar views,
ICIP08(1476-1479).
IEEE DOI 0810
BibRef
Earlier: A1, A3, Only:
Omni-directional multiperson tracking in meeting scenarios combining simulated annealing and particle filtering,
FG08(1-6).
IEEE DOI 0809
BibRef

Grest, D.[Daniel], Koch, R.[Reinhard],
Multi-camera Person Tracking in a Cluttered Interaction Environment,
CAIP05(480).
Springer DOI 0509
BibRef

Khan, S.[Sohaib], Javed, O.[Omar], Rasheed, Z.[Zeeshan], Shah, M.[Mubarak],
Human Tracking in Multiple Cameras,
ICCV01(I: 331-336).
IEEE DOI 0106
BibRef

Krumm, J., Harris, S., Meyers, B., Brumitt, B.L., Hale, M., Shafer, S.A.,
Multi-Camera Multi-Person Tracking for EasyLiving,
VS00(xx-yy). 0102
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Marcenaro, L.[Lucio], Regazzoni, C.S.[Carlo S.], Vernazza, G.[Gianni],
Automatic Generation of the Statistical Model of a Non-rigid Object in a Multiple-camera Environment,
ICPR00(Vol I: 530-533).
IEEE DOI 0009
Tracking people. BibRef

Chang, T.H., Gong, S., Ong, E.J.,
Tracking Multiple People Under Occlusion Using Multiple Cameras,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Kang, J.M.[Jin-Man], Gajera, K.[Kalpitkumar], Cohen, I.[Isaac], Medioni, G.[Gérard],
Detection and Tracking of Moving Objects from Overlapping EO and IR Sensors,
OTCBVS04(123).
IEEE DOI 0502
See also Continuous multi-views tracking using tensor voting. BibRef

Stillman, S., Tanawongsuwan, R., Essa, I.A.,
System for Tracking and Recognizing Multiple People with Multiple Cameras,
AVBPA99(xx-yy). BibRef 9900

Tsutsui, H., Miura, J., Shirai, Y.,
Optical Flow-based Person Tracking by Multiple Cameras,
MVA98(xx-yy). BibRef 9800

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


Last update:Sep 14, 2020 at 15:32:18