16.7.4.4 Tracking People, Human Tracking, Pedestrian Tracking

Chapter Contents (Back)
Tracking. Human Motion. Human Tracking. Pedestrian Tracking. See also Human Detection, People Detection, Pedestrians, Locating. See also Tracking People with Multiple Cameras, Stereo, or Depth.

Lai, J.Z.C.[Jim Z.C],
Tracking Multiple Features Using Relaxation,
PR(26), No. 12, December 1993, pp. 1827-1837.
Elsevier DOI Human motion tracking. BibRef 9312

Sethi, I.K.[Ishwar K.],
Tracking Multiple Features Using Relaxation: Comments,
PR(27), No. 6, June 1994, pp. 865.
Elsevier DOI BibRef 9406

Ledley, R.S.,
Tracking Multiple Features Using Relaxation: Reply,
PR(27), No. 6, June 1994, pp. 865.
Elsevier DOI BibRef 9406

Xu, L.Q.[Li-Qun], Hogg, D.C.[David C.],
Neural Networks in Human Motion Tracking: An Experimental Study,
IVC(15), No. 8, August 1997, pp. 607-615.
Elsevier DOI 9708
BibRef
Earlier: BMVC96(Tracking). 9608
University of Abertay and University of Leeds BibRef

Ye, Y.M.[Yi-Ming], Tsotsos, J.K.[John K.], Harley, E.[Eric], Bennet, K.[Karen],
Tracking a Person with Pre-Recorded Image Database by a Pan, Tilt, and Zoom Camera,
MVA(12), No. 1, 2000, pp. 32-43.
Springer DOI 0008
BibRef
Earlier: A1, A2, A4, A3: VS98(Monitoring and Surveillance of People). BibRef

Schlegel, C.[Christian], Illmann, J.[Jörg], Jaberg, H.[Heiko], Schuster, M.[Matthias], Wörz, R.[Robert],
Integrating Vision-Based Behaviors with an Autonomous Robot,
Videre(1), No. 4, Winter 2000, pp. xx-yy. 0005
BibRef
Earlier: CVS99(1 ff.).
Springer DOI 0209
BibRef
Earlier:
Vision Based Person Tracking with a Mobile Robot,
BMVC98(xx-yy). BibRef

Crabtree, R.N.[Ralph N.], Moed, M.C.[Michael C.], Khosravi, M.[Mehdi],
System and method for tracking movement of objects in a scene,
US_Patent6,263,088, Jul 17, 2001
WWW Link. BibRef 0107

Rehg, J.M.[James Matthew], Morris, D.D.[Daniel D.],
Method for figure tracking using 2-D registration,
US_Patent6,240,198, May 29, 2001
WWW Link. BibRef 0105
And: A2, A1:
Singularity Analysis for Articulated Object Tracking,
CVPR98(289-296).
IEEE DOI BibRef

Rehg, J.M.[James Matthew], Morris, D.D.[Daniel D.],
Method and system for compressing a sequence of images including a moving figure,
US_Patent6,256,418, Jul 3, 2001
WWW Link. BibRef 0107
And:
Method for tracking the motion of a 3-D figure,
US_Patent6,269,172, Jul 31, 2001
WWW Link. BibRef

Fathi, A.[Alireza], Balcan, M.F.[Maria Florina], Ren, X.F.[Xiao-Feng], Rehg, J.M.[James M.],
Combining Self Training and Active Learning for Video Segmentation,
BMVC11(xx-yy).
HTML Version. 1110
Not just people. But that kind of moving object. BibRef

Jang, D.S.[Dae-Sik], Jang, S.W.[Seok-Woo], Choi, H.I.[Hyung-Il],
2D human body tracking with Structural Kalman filter,
PR(35), No. 10, October 2002, pp. 2041-2049.
Elsevier DOI 0206
BibRef

Loveland, R.C.[Rohan Christopher],
Automated video person tracking system,
US_Patent6,437,819, Aug 20, 2002
WWW Link. BibRef 0208

Kapoor, A.[Ashish], Grauman, K.[Kristen], Urtasun, R.[Raquel], Darrell, T.J.[Trevor J.],
Gaussian Processes for Object Categorization,
IJCV(88), No. 2, June 2010, pp. xx-yy.
Springer DOI 1003
BibRef
Earlier:
Active Learning with Gaussian Processes for Object Categorization,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Jain, P.[Prateek], Kapoor, A.[Ashish],
Active learning for large multi-class problems,
CVPR09(762-769).
IEEE DOI 0906
BibRef

Vijayanarasimhan, S.[Sudheendra], Grauman, K.[Kristen],
Cost-Sensitive Active Visual Category Learning,
IJCV(91), No. 1, January 2011, pp. 24-44.
WWW Link. 1101
o See also Fast Similarity Search for Learned Metrics. BibRef

Vijayanarasimhan, S.[Sudheendra], Grauman, K.[Kristen],
Efficient region search for object detection,
CVPR11(1401-1408).
IEEE DOI 1106
BibRef

Vijayanarasimhan, S.[Sudheendra], Grauman, K.[Kristen],
Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds,
IJCV(108), No. 1-2, May 2014, pp. 97-114.
WWW Link. 1405
BibRef
Earlier: CVPR11(1449-1456).
IEEE DOI 1106
BibRef
Earlier:
What's it going to cost you?: Predicting effort vs. informativeness for multi-label image annotations,
CVPR09(2262-2269).
IEEE DOI 0906
BibRef
Earlier:
Keywords to visual categories: Multiple-instance learning for weakly supervised object categorization,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Fan, L.X.[Li-Xin], Sung, K.K.[Kah-Kay], Ng, T.K.[Teck-Khim],
Pedestrian registration in static images with unconstrained background,
PR(36), No. 4, April 2003, pp. 1019-1029.
Elsevier DOI 0304
BibRef

Metoyer, R.A.[Ronald A.], Hodgins, J.K.[Jessica K.],
Reactive pedestrian path following from examples,
VC(20), No. 10, December 2004, pp. 635-649.
Springer DOI 0412
BibRef

Matsuo, H.[Hideaki], Imagawa, K.[Kazuyuki], Takata, Y.[Yuji],
Human tracking device, human tracking method and recording medium recording program thereof,
US_Patent6,704,433, Mar 9, 2004
WWW Link. BibRef 0403

Yang, M.T.[Mau-Tsuen], Wang, S.C.[Shih-Chun], Lin, Y.Y.[Yong-Yuan],
A multimodal fusion system for people detection and tracking,
IJIST(15), No. 2, 2005, pp. 131-142.
DOI Link 0507
BibRef

Fujie, H.[Hidekatsu],
Monitoring system and method,
US_Patent7,158,038, Jan 2, 2007
WWW Link. Human motion detection BibRef 0701

Denman, S.[Simon], Chandran, V.[Vinod], Sridharan, S.[Sridha],
An adaptive optical flow technique for person tracking systems,
PRL(28), No. 10, 15 July 2007, pp. 1232-1239.
Elsevier DOI 0706
Person tracking; Optical flow; Motion detection BibRef

Yu, Y.[Yang], Harwood, D.[David], Yoon, K.[Kyongil], Davis, L.S.[Larry S.],
Human appearance modeling for matching across video sequences,
MVA(18), No. 3-4, August 2007, pp. 139-149.
Springer DOI 0706
BibRef

Haritaoglu, I., Harwood, D.[David], Davis, L.S.[Larry S.],
An Appearance-based Body Model for Multiple People Tracking,
ICPR00(Vol IV: 184-187).
IEEE DOI 0009
BibRef
And:
Hydra: Multiple People Detection and Tracking Using Silhouettes,
CIAP99(280-285).
IEEE DOI 9909
BibRef
And: VS99(xx-yy). See also Ghost: A Human Body Part Labeling System Using Silhouettes. Ghost system BibRef

Davis, L.S., Philomin, V., Duraiswami, R.,
Tracking Humans from a Moving Platform,
ICPR00(Vol IV: 171-178).
IEEE DOI 0009
BibRef

Tran, S.D.[Son D.], Lin, Z.[Zhe], Harwood, D.[David], Davis, L.S.[Larry S.],
UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Lin, Z.[Zhe], Davis, L.S.[Larry S.],
Shape-Based Human Detection and Segmentation via Hierarchical Part-Template Matching,
PAMI(32), No. 4, April 2010, pp. 604-618.
IEEE DOI 1003
BibRef
Earlier:
A Pose-Invariant Descriptor for Human Detection and Segmentation,
ECCV08(IV: 423-436).
Springer DOI 0810
BibRef
And:
Learning Pairwise Dissimilarity Profiles for Appearance Recognition in Visual Surveillance,
ISVC08(I: 23-34).
Springer DOI 0812
Combine local part based and global shape based schemes for detection and segmentation. Match a part template tree hiarchically to images. Adaptive extraction of features in learning. (SVM classifier). BibRef

Qiu, Q.A.[Qi-Ang], Jiang, Z.L.[Zhuo-Lin], Chellappa, R.[Rama],
Sparse dictionary-based representation and recognition of action attributes,
ICCV11(707-714).
IEEE DOI 1201
BibRef

Jiang, Z.L.[Zhuo-Lin], Lin, Z.[Zhe], Davis, L.S.[Larry S.],
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees,
PAMI(34), No. 3, March 2012, pp. 533-547.
IEEE DOI 1201
BibRef
Earlier: A2, A1, A3:
Recognizing Actions by Shape-motion Prototype Trees,
ICCV09(444-451).
IEEE DOI 0909
BibRef

Jiang, Z.L.[Zhuo-Lin], Lin, Z.[Zhe], Davis, L.S.[Larry S.],
Class consistent k-means: Application to face and action recognition,
CVIU(116), No. 6, June 2012, pp. 730-741.
Elsevier DOI 1204
Action recognition; Face recognition; Supervised clustering; Class consistent k-means; Discriminative tree classifier BibRef

Jiang, Z.L.[Zhuo-Lin], Lin, Z.[Zhe], Davis, L.S.[Larry S.],
A unified tree-based framework for joint action localization, recognition and segmentation,
CVIU(117), No. 10, 2013, pp. 1345-1355.
Elsevier DOI 1309
Action recognition BibRef

Lin, Z.[Zhe], Davis, L.S.[Larry S.], Doermann, D.S.[David S.], DeMenthon, D.F.[Daniel F.],
Hierarchical Part-Template Matching for Human Detection and Segmentation,
ICCV07(1-8).
IEEE DOI 0710
BibRef
And:
An Interactive Approach to Pose-Assisted and Appearance-based Segmentation of Humans,
ICV07(1-8).
IEEE DOI 0710
BibRef
Earlier:
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion,
ACCV07(II: 404-413).
Springer DOI 0711
BibRef

Capellades, M.B., Doermann, D.S., DeMenthon, D.F., Chellappa, R.,
An appearance based approach for human and object tracking,
ICIP03(II: 85-88).
IEEE DOI 0312
BibRef

Hua, C.S.[Chun-Sheng], Wu, H.Y.[Hai-Yuan], Chen, Q.[Qian], Wada, T.[Toshikazu],
Object Tracking with Target and Background Samples,
IEICE(E90-D), No. 4, April 2007, pp. 766-774.
DOI Link 0704
BibRef
Earlier:
A Pixel-wise Object Tracking Algorithm with Target and Background Sample,
ICPR06(I: 739-742).
IEEE DOI 0609
BibRef
And:
A General Framework For Tracking People,
FGR06(511-516).
IEEE DOI 0604
BibRef

Hua, C.S.[Chun-Sheng], Chen, Q.[Qian], Wu, H.Y.[Hai-Yuan], Wada, T.[Toshikazu],
A Noise-Insensitive Object Tracking Algorithm,
ACCV07(I: 565-575).
Springer DOI 0711
BibRef

Junejo, I.N.[Imran N.], Foroosh, H.[Hassan],
Euclidean path modeling for video surveillance,
IVC(26), No. 4, April 2008, pp. 512-528.
Elsevier DOI 0711
BibRef
Earlier:
Trajectory Rectification and Path Modeling for Video Surveillance,
ICCV07(1-7).
IEEE DOI 0710
BibRef
Earlier:
Using Calibrated Camera for Euclidean Path Modeling,
ICIP07(III: 205-208).
IEEE DOI 0709
BibRef
And:
Euclidean Path Modeling from Ground and Aerial Views,
VS07(1-6).
IEEE DOI 0706
Path modeling; Pedestrian surveillance; Metric rectification; Camera auto-calibration; Trajectory clustering; Route detection Path modeling in a single camera for activity monitoring in a multi-camera video surveillance system. BibRef

Junejo, I.N.[Imran N.], Foroosh, H.[Hassan],
Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories,
ECCV08(I: 318-331).
Springer DOI 0810
See also Simple Shadow Based Method for Camera Calibration, A. BibRef

Junejo, I.N.[Irnran N.], Cao, X.C.[Xiao-Chun], Foroosh, H.[Hassan],
Geometry of a Non-Overlapping Multi-Camera Network,
AVSBS06(43-43).
IEEE DOI 0611
BibRef

Junejo, I.N.[Imran N.],
Using dynamic Bayesian network for scene modeling and anomaly detection,
SIViP(4), No. 1, March 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Karlsson, S.[Stefan], Taj, M.[Murtaza], Cavallaro, A.[Andrea],
Detection and Tracking of Humans and Faces,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Snidaro, L.[Lauro], Foresti, G.L.[Gian Luca], Chittaro, L.[Luca],
Tracking Human Motion From Monocular Sequences,
IJIG(8), No. 3, July 2008, pp. 455-471. 0807
BibRef

Snidaro, L.[Lauro], Visentini, I.[Ingrid], Foresti, G.L.[Gian Luca],
Multi-sensor Multi-cue Fusion for Object Detection in Video Surveillance,
AVSBS09(364-369).
IEEE DOI 0909
BibRef

Snidaro, L.[Lauro], Visentini, I.[Ingrid], Foresti, G.L.[Gian Luca],
Dynamic Models for People Detection and Tracking,
AVSBS08(29-35).
IEEE DOI 0809
BibRef
And: A2, A1, A3:
Dynamic ensemble for target tracking,
VS08(xx-yy). 0810
See also Commentary Paper on Dynamic Models for People Detection and Tracking. BibRef

Tao, J.[Ji], Tan, Y.P.[Yap-Peng], Lu, W.M.[Wen-Miao],
Robust Color Object Tracking With Application To People Monitoring,
IJIG(7), No. 2, April 2007, pp. 227-254. 0704
BibRef

Shen, S.H.[Shu-Han], Tong, M.L.[Ming-Lei], Deng, H.L.[Hao-Long], Liu, Y.C.[Yun-Cai], Wu, X.J.[Xiao-Jun], Wakabayashi, K.[Kaoru], Koike, H.[Hideki],
Model based human motion tracking using probability evolutionary algorithm,
PRL(29), No. 13, 1 October 2008, pp. 1877-1886.
Elsevier DOI 0804
Tracking; Human tracking; Probability evolutionary algorithm BibRef

Xiang, S.M.[Shi-Ming], Nie, F.P.[Fei-Ping], Song, Y.Q.[Yang-Qiu], Zhang, C.S.[Chang-Shui],
Contour graph based human tracking and action sequence recognition,
PR(41), No. 12, December 2008, pp. 3653-3664.
Elsevier DOI 0810
Contour tracking; Sequence recognition; Sequence Monte Carlo estimation; Contour graph; Diving action BibRef

Leibe, B.[Bastian], Schindler, K.[Konrad], Cornelis, N.[Nico], Van Gool, L.J.[Luc J.],
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles,
PAMI(30), No. 10, October 2008, pp. 1683-1698.
IEEE DOI 0810
BibRef
Earlier: A1, A2, A4, Only:
Coupled Detection and Trajectory Estimation for Multi-Object Tracking,
ICCV07(1-8).
IEEE DOI Award, CVPR. 0710
At each step search for global set of trajectories that best fit the data. BibRef

Sudowe, P.[Patrick], Leibe, B.[Bastian],
Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video,
CVS11(11-20).
Springer DOI 1109
BibRef

Izadi, M.[Mohammad], Safabakhsh, R.[Reza],
An improved time-adaptive self-organizing map for high-speed shape modeling,
PR(42), No. 7, July 2009, pp. 1361-1370.
Elsevier DOI 0903
Active contour model; Time-adaptive self-organizing map; TASOM; Adaptive speed parameter; Boundary curvature; Person tracking BibRef

Liu, C.[Chang], Wang, G.J.[Gui-Jin], Jiang, F.[Fan], Lin, X.G.[Xing-Gang],
Online HOG Method in Pedestrian Tracking,
IEICE(E93-D), No. 5, May 2010, pp. 1321-1324.
WWW Link. 1006
BibRef

Jiang, F.[Fan], Wang, G.J.[Gui-Jin], Liu, C.[Chang], Lin, X.G.[Xing-Gang], Wu, W.G.[Wei-Guo],
Robust Object Tracking via Combining Observation Models,
IEICE(E93-D), No. 3, March 2010, pp. 662-665.
WWW Link. 1003
BibRef

Han, Z.J.[Zhen-Jun], Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin],
Combined feature evaluation for adaptive visual object tracking,
CVIU(115), No. 1, January 2011, pp. 69-80.
Elsevier DOI 1011
BibRef
Earlier:
Online feature evaluation for object tracking using Kalman Filter,
ICPR08(1-4).
IEEE DOI 0812
Object tracking; Color histogram; Gradient orientation histogram; Kalman filter; Particle filter BibRef

Han, Z.J.[Zhen-Jun], Jiao, J.B.[Jian-Bin], Zhang, B.C.[Bao-Chang], Ye, Q.X.[Qi-Xiang], Liu, J.Z.[Jian-Zhuang],
Visual object tracking via sample-based Adaptive Sparse Representation (AdaSR),
PR(44), No. 9, September 2011, pp. 2170-2183.
Elsevier DOI 1106
Object tracking; Sample-Based Representation; Adaptive sparse representation BibRef

Han, Z.J.[Zhen-Jun], Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin],
Robust Visual Object Tracking via Sparse Representation and Reconstruction,
CAIP13(II:282-289).
Springer DOI 1311
BibRef

Zhang, B.C.[Bao-Chang], Zhang, S.P.[Sheng-Ping], Liu, J.Z.[Jian-Zhuang],
Sparse regression analysis for object recognition,
ICIP11(2381-2384).
IEEE DOI 1201
BibRef

Han, Z.J.[Zhen-Jun], Jiao, J.B.[Jian-Bin], Ye, Q.X.[Qi-Xiang],
A fast object tracking approach based on sparse representation,
ICIP11(1865-1868).
IEEE DOI 1201
BibRef

Li, L.[Li], Han, Z.J.[Zhen-Jun], Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin],
Visual Object Tracking via One-Class SVM,
VS10(216-225).
Springer DOI 1109
BibRef

Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin], Zhang, B.C.[Bao-Chang],
Fast pedestrian detection with multi-scale orientation features and two-stage classifiers,
ICIP10(881-884).
IEEE DOI 1009
BibRef

Xu, R.[Ran], Jiao, J.B.[Jian-Bin], Zhang, B.C.[Bao-Chang], Ye, Q.X.[Qi-Xiang],
Pedestrian detection in images via cascaded L1-norm minimization learning method,
PR(45), No. 7, July 2012, pp. 2573-2583.
Elsevier DOI 1203
BibRef
Earlier: A1, A3, A4, A2:
Cascaded L1-norm Minimization Learning (CLML) classifier for human detection,
CVPR10(89-96).
IEEE DOI 1006
Pedestrian detection; L1-norm minimization; Feature selection; Cascaded classifier BibRef

Xu, R.[Ran], Jiao, J.B.[Jian-Bin], Ye, Q.X.[Qi-Xiang],
Nonlinear L1-norm minimization learning for human detection,
ICIP11(3573-3576).
IEEE DOI 1201
BibRef

Ye, Q.X.[Qi-Xiang], Jiao, J.B.[Jian-Bin], Yu, H.[Hua],
Multi-posture Human Detection in Video Frames by Motion Contour Matching,
ACCV07(I: 896-904).
Springer DOI 0711
BibRef

Assheton, P., Hunter, A.,
A shape-based voting algorithm for pedestrian detection and tracking,
PR(44), No. 5, May 2011, pp. 1106-1120.
Elsevier DOI 1101
Scene analysis; Shape tracking; Hough transform; Video analysis BibRef

Varcheie, P.D.Z.[Parisa Darvish Zadeh], Bilodeau, G.A.[Guillaume-Alexandre],
People tracking using a network-based PTZ camera,
MVA(22), No. 4, July 2011, pp. 671-690.
WWW Link. 1107
BibRef
Earlier:
Fuzzy Feature-Based Upper Body Tracking with IP PTZ Camera Control,
CIARP09(809-816).
Springer DOI 0911
BibRef
And:
Human Tracking by IP PTZ Camera Control in the Context of Video Surveillance,
ICIAR09(657-667).
Springer DOI 0907
BibRef

Bouachir, W.[Wassim], Bilodeau, G.A.[Guillaume-Alexandre],
Collaborative part-based tracking using salient local predictors,
CVIU(137), No. 1, 2015, pp. 88-101.
Elsevier DOI 1506
BibRef
Earlier:
Part-Based Tracking via Salient Collaborating Features,
WACV15(78-85)
IEEE DOI 1503
Computational modeling. Part-based tracking BibRef

Bourezak, R.[Rafik], Bilodeau, G.A.[Guillaume-Alexandre],
Iterative Division and Correlograms for Detection and Tracking of Moving Objects,
IWICPAS06(46-55).
Springer DOI 0608
BibRef
And:
Object detection and tracking using iterative division and correlograms,
CRV06(38-38).
IEEE DOI 0607
BibRef

Wang, M., Qiao, H., Zhang, B.,
A New Algorithm for Robust Pedestrian Tracking Based on Manifold Learning and Feature Selection,
ITS(12), No. 4, December 2011, pp. 1195-1208.
IEEE DOI 1112
BibRef

Liu, C.M.[Chun-Mei], Hu, C.B.[Chang-Bo], Aggarwal, J.K.,
Eigenshape kernel based mean shift for human tracking,
VS11(1809-1816).
IEEE DOI 1201
BibRef

Motai, Y.[Yuichi], Jha, S.K.[Sumit Kumar], Kruse, D.[Daniel],
Human tracking from a mobile agent: Optical flow and Kalman filter arbitration,
SP:IC(27), No. 1, January 2012, pp. 83-95.
Elsevier DOI 1201
Human tracking; Kalman filter; Mobile robot; Optical flow BibRef

Wang, J.T.[Jian-Tao], Chen, D.B.[De-Bao], Chen, H.Y.[Hai-Yan], Yang, J.Y.[Jing-Yu],
On pedestrian detection and tracking in infrared videos,
PRL(33), No. 6, 15 April 2012, pp. 775-785.
Elsevier DOI 1203
Infrared pedestrian detection; Infrared pedestrian tracking; Multi-cue fusion; Particle filter BibRef

Ma, G., Müller, D.[Dennis], Park, S.B.[Su-Birm], Müller-Schneiders, S.[Stefan], Kummert, A.[Anton],
Pedestrian detection using a single monochrome camera,
IET-ITS(3), No. 1, 2009, pp. 42-56.
DOI Link 1204
BibRef

Meuter, M.[Mirko], Müller, D.[Dennis], Müller-Schneiders, S.[Stefan], Iurgel, U.[Uri], Park, S.B.[Su-Birm], Kummert, A.[Anton],
Pedestrian Tracking from a Moving Host Using Corner Points,
ISVC07(II: 367-376).
Springer DOI 0711
BibRef

Pedestrians tracked for scheduling, traffic control, and safety,
VisSys(16), No. 2, February 2011.
HTML Version. News item refrencing SLR Engineering work. See also SLR Engineering. BibRef 1102

Khanloo, B.Y.S.[Bahman Yari Saeed], Stefanus, F.[Ferdinand], Ranjbar, M.[Mani], Li, Z.N.[Ze-Nian], Saunier, N.[Nicolas], Sayed, T.[Tarek], Mori, G.[Greg],
A large margin framework for single camera offline tracking with hybrid cues,
CVIU(116), No. 6, June 2012, pp. 676-689.
Elsevier DOI 1204
BibRef
Earlier:
Max-Margin Offline Pedestrian Tracking with Multiple Cues,
CRV10(347-353).
IEEE DOI 1005
Tracking; Trajectory optimization; Structured prediction; Conditional random fields; Discriminative learning BibRef

García-Martín, Á.[Álvaro], Martínez, J.M.[José M.],
On collaborative people detection and tracking in complex scenarios,
IVC(30), No. 4-5, May 2012, pp. 345-354.
Elsevier DOI 1206
People detection; People tracking; Collaborative system; Video surveillance BibRef

García-Martín, Á.[Álvaro], Martínez, J.M.[José M.],
Post-processing approaches for improving people detection performance,
CVIU(133), No. 1, 2015, pp. 76-89.
Elsevier DOI 1502
People detection See also Pedestrian Detection: An Evaluation of the State of the Art. BibRef

Metternich, M.J.[Michael J.], Worring, M.[Marcel],
Track based relevance feedback for tracing persons in surveillance videos,
CVIU(117), No. 3, March 2013, pp. 229-237.
Elsevier DOI 1302
Surveillance; Event reconstruction; Person tracing; Relevance feedback BibRef

Garcia, J., Gardel, A., Bravo, I., Lazaro, J.L., Martinez, M.,
Tracking People Motion Based on Extended Condensation Algorithm,
SMCS(43), No. 3, May 2013, pp. 606-618.
IEEE DOI 1305
BibRef

Di Lascio, R.[Rosario], Foggia, P.[Pasquale], Percannella, G.[Gennaro], Saggese, A.[Alessia], Vento, M.[Mario],
A real time algorithm for people tracking using contextual reasoning,
CVIU(117), No. 8, August 2013, pp. 892-908.
Elsevier DOI 1306
BibRef
Earlier: A2, A3, A4, A5, Only:
Real-time tracking of single people and groups simultaneously by contextual graph-based reasoning dealing complex occlusions,
PETS13(29-36)
IEEE DOI 1411
finite state machines Video surveillance; Real-time object tracking; Finite State Automata BibRef

Shabani, A.H.[Amir-Hossein], Zelek, J.S.[John S.], Clausi, D.A.[David A.],
Multiple scale-specific representations for improved human action recognition,
PRL(34), No. 15, 2013, pp. 1771-1779.
Elsevier DOI 1309
BibRef
Earlier: A1, A3, A2:
Evaluation of Local Spatio-temporal Salient Feature Detectors for Human Action Recognition,
CRV12(468-475).
IEEE DOI 1207
BibRef
And: A1, A3, A2:
Improved Spatio-temporal Salient Feature Detection for Action Recognition,
BMVC11(xx-yy).
HTML Version. 1110
BibRef
Earlier: A1, A2, A3:
Human Action Recognition Using Salient Opponent-Based Motion Features,
CRV10(362-369).
IEEE DOI 1005
BibRef
Earlier: A1, A3, A2:
Towards a Robust Spatio-Temporal Interest Point Detection for Human Action Recognition,
CRV09(237-243).
IEEE DOI 0905
Human action recognition BibRef

El Nabbout, N.M.[Nathalie M.], Zelek, J.S.[John S.], Clausi, D.A.[David A.],
Automatically Detecting and Tracking People Walking through a Transparent Door with Vision,
CRV08(171-178).
IEEE DOI 0805
BibRef

Ghaeminia, M.H.[Mohammad Hossein], Badiezadeh, A., Shokouhi, S.B.[Shahryar Baradaran],
An Efficient Energy Model for Human Gait Recognition,
DICTA16(1-6)
IEEE DOI 1701
Computational modeling BibRef

Ghaeminia, M.H.[Mohammad Hossein], Shabani, A.H.[Amir Hossein], Shokouhi, S.B.[Shahryar Baradaran],
Adaptive Motion Model for Human Tracking Using Particle Filter,
ICPR10(2073-2076).
IEEE DOI 1008
BibRef
Earlier: A2, A1, A3:
Human Tracking Using Spatialized Multi-level Histogram and Mean Shift,
CRV10(151-158).
IEEE DOI 1005
BibRef

Zuriarrain, I.[Iker], Mekonnen, A.A.[Alhayat Ali], Lerasle, F.[Frédéric], Arana, N.[Nestor],
Tracking-by-detection of multiple persons by a resample-move particle filter,
MVA(24), No. 8, November 2013, pp. 1751-1765.
Springer DOI 1310
See also Cooperative passers-by tracking with a mobile robot and external cameras. BibRef

Moussy, E., Mekonnen, A.A., Marion, G., Lerasle, F.,
A comparative view on exemplar 'tracking-by-detection' approaches,
AVSS15(1-6)
IEEE DOI 1511
Monte Carlo methods BibRef

Madrigal, F.[Francisco], Hayet, J.B.[Jean-Bernard], Lerasle, F.[Frédéric],
Improving multiple pedestrians tracking with semantic information,
SIViP(8), No. S1, December 2014, pp. 113-123.
Springer DOI 1411
BibRef

Zuriarrain, I., Lerasle, F., Arana, N., Devy, M.,
An MCMC-based particle filter for multiple person tracking,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Ayala-Ramirez, V., Parra, C., Devy, M.,
Active Tracking Based on Hausdorff Matching,
ICPR00(Vol IV: 706-709).
IEEE DOI 0009
BibRef

Gomez, D.G.[David Gerónimo], Lerasle, F.[Frédéric], López Peńa, A.M.[Antonio M.],
State-Driven Particle Filter for Multi-person Tracking,
ACIVS12(467-478).
Springer DOI 1209
BibRef

Führ, G.[Gustavo], Jung, C.R.[Cláudio Rosito],
Combining patch matching and detection for robust pedestrian tracking in monocular calibrated cameras,
PRL(39), No. 1, 2014, pp. 11-20.
Elsevier DOI 1402
Patch-based tracking BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Robust Visual Tracking via Multiple Kernel Boosting With Affinity Constraints,
CirSysVideo(24), No. 2, February 2014, pp. 242-254.
IEEE DOI 1403
object tracking BibRef

Zhang, K., Liu, Q., Wu, Y., Yang, M.H.,
Robust Visual Tracking via Convolutional Networks Without Training,
IP(25), No. 4, April 2016, pp. 1779-1792.
IEEE DOI 1604
Computer architecture BibRef

Yuan, Y.[Yuan], Fang, J.[Jianwu], Wang, Q.[Qi],
Robust Superpixel Tracking via Depth Fusion,
CirSysVideo(24), No. 1, January 2014, pp. 15-26.
IEEE DOI 1402
graph theory BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Robust Superpixel Tracking,
IP(23), No. 4, April 2014, pp. 1639-1651.
IEEE DOI 1404
computer vision BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Chen, Y.W.[Yen-Wei],
Human Tracking by Multiple Kernel Boosting with Locality Affinity Constraints,
ACCV10(IV: 39-50).
Springer DOI 1011
BibRef

Lu, H.C.[Hu-Chuan], Lu, S.P.[Shi-Peng], Chen, Y.W.[Yen-Wei],
Robust Tracking Based on Pixel-Wise Spatial Pyramid and Biased Fusion,
ACCV10(IV: 165-176).
Springer DOI 1011
BibRef

Keller, C.G., Gavrila, D.M.,
Will the Pedestrian Cross? A Study on Pedestrian Path Prediction,
ITS(15), No. 2, April 2014, pp. 494-506.
IEEE DOI 1404
Data models BibRef

Schneider, N.[Nicolas], Gavrila, D.M.[Dariu M.],
Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study,
GCPR13(174-183).
Springer DOI 1311
BibRef

Heili, A.[Alexander], Lopez-Mendez, A., Odobez, J.M.[Jean-Marc],
Exploiting Long-Term Connectivity and Visual Motion in CRF-Based Multi-Person Tracking,
IP(23), No. 7, July 2014, pp. 3040-3056.
IEEE DOI 1407
Feature extraction BibRef

Le, N.[Nam], Heili, A.[Alexander], Odobez, J.M.[Jean-Marc],
Long-Term Time-Sensitive Costs for CRF-Based Tracking by Detection,
MOTC16(II: 43-51).
Springer DOI 1611
BibRef

Ding, Y.P.[Yi-Peng], Tang, J.T.[Jing-Tian],
Micro-Doppler Trajectory Estimation of Pedestrians Using a Continuous-Wave Radar,
GeoRS(52), No. 9, Sept 2014, pp. 5807-5819.
IEEE DOI 1407
CW radar BibRef

Yildiz, A.[Alparslan], Takemura, N.[Noriko], Hori, M.[Maiya], Iwai, Y.[Yoshio], Sato, K.[Kosuke],
Tracking People with Active Cameras Using Variable Time-Step Decisions,
IEICE(E97-D), No. 8, August 2014, pp. 2124-2130.
WWW Link. 1408
BibRef
Earlier: A1, A2, A4, A5, Only:
Regression Based Trajectory Learning and Prediction for Human Motion,
PSIVTWS13(193-202).
Springer DOI 1402
BibRef

Chen, S.[Si], Li, S.Z.[Shao-Zi], Su, S.Z.[Song-Zhi], Cao, D.L.[Dong-Lin], Ji, R.R.[Rong-Rong],
Online semi-supervised compressive coding for robust visual tracking,
JVCIR(25), No. 5, 2014, pp. 793-804.
Elsevier DOI 1406
Visual tracking BibRef

Yuan, D.D.[De-Dong], Dong, J.[Jie], Su, S.Z.[Song-Zhi], Li, S.Z.[Shao-Zi], Ji, R.R.[Rong-Rong],
Pursuing Detector Efficiency for Simple Scene Pedestrian Detection,
MMMod14(II: 140-150).
Springer DOI 1405
BibRef

Shuai, B.[Bing], Su, S.Z.[Song-Zhi], Li, S.Z.[Shao-Zi], Cheng, Y.[Yun], Ji, R.R.[Rong-Rong],
Decomposed human localization in personal photo albums,
VCIP13(1-6)
IEEE DOI 1402
image retrieval BibRef

Sun, S.L.[Shi-Liang], Zhao, J.[Jing], Gao, Q.B.[Qing-Bin],
Modeling and recognizing human trajectories with beta process hidden Markov models,
PR(48), No. 8, 2015, pp. 2407-2417.
Elsevier DOI 1505
Human activity recognition BibRef

Shao, Z.P.[Zhan-Peng], Li, Y.F.[You-Fu],
Integral invariants for space motion trajectory matching and recognition,
PR(48), No. 8, 2015, pp. 2418-2432.
Elsevier DOI 1505
Motion trajectory BibRef

Shao, Z.P.[Zhan-Peng], Li, Y.F.[You-Fu],
On Integral Invariants for Effective 3-D Motion Trajectory Matching and Recognition,
Cyber(46), No. 2, February 2016, pp. 511-523.
IEEE DOI 1601
Cybernetics BibRef

Peng, C.[Chao], Fang, B.[Bing], Quek, F.[Francis], Cao, Y.[Yong], Park, S.I.[Seung In], Xie, L.G.[Li-Guang],
Upper Body Tracking and 3D Gesture Reconstruction Using Agent-Based Architecture,
IJIG(15), No. 04, 2015, pp. 1550016.
DOI Link 1509
BibRef

Fang, B.[Bing], Xie, L.G.[Li-Guang], Chung, P.K.[Pak-Kiu], Cao, Y.[Yong], Quek, F.,
Full body tracking using an agent-based architecture,
AIPR08(1-7).
IEEE DOI 0810
BibRef

Xie, L.G.[Li-Guang], Fang, B.[Bing], Cao, Y.[Yong], Quek, F.,
A nonlinear manifold learning framework for real-time motion estimation using low-cost sensors,
AIPR08(1-8).
IEEE DOI 0810
BibRef

Lee, K.H.[Kuan-Hui], Hwang, J.N.[Jenq-Neng],
On-Road Pedestrian Tracking Across Multiple Driving Recorders,
MultMed(17), No. 9, September 2015, pp. 1429-1438.
IEEE DOI 1509
data visualisation BibRef

Feng, Y., Ji, M., Xiao, J., Yang, X., Zhang, J.J., Zhuang, Y., Li, X.,
Mining Spatial-Temporal Patterns and Structural Sparsity for Human Motion Data Denoising,
Cyber(45), No. 12, December 2015, pp. 2693-2706.
IEEE DOI 1512
Dictionaries BibRef

Shen, X.W.[Xue-Wei], Sui, X.B.[Xiu-Bao], Pan, K.[Kechen], Tao, Y.R.[Yuan-Rong],
Adaptive pedestrian tracking via patch-based features and spatial-temporal similarity measurement,
PR(53), No. 1, 2016, pp. 163-173.
Elsevier DOI 1602
Pedestrian tracking BibRef

Migniot, C.[Cyrille], Ababsa, F.[Fakhreddine],
Hybrid 3D-2D human tracking in a top view,
RealTimeIP(11), No. 4, April 2016, pp. 769-784.
WWW Link. 1604
BibRef

Musa, Z., Salleh, M.Z., Bakar, R.A., Watada, J.,
GbLN-PSO and Model-Based Particle Filter Approach for Tracking Human Movements in Large View Cases,
CirSysVideo(26), No. 8, August 2016, pp. 1433-1446.
IEEE DOI 1609
image motion analysis BibRef

Lee, K.H., Hwang, J.N., Okopal, G., Pitton, J.,
Ground-Moving-Platform-Based Human Tracking Using Visual SLAM and Constrained Multiple Kernels,
ITS(17), No. 12, December 2016, pp. 3602-3612.
IEEE DOI 1612
Cameras BibRef

Zhang, X.G.[Xu-Guang], Zhang, X.F.[Xu-Feng], Wang, Y.M.[Yi-Ming], Yu, H.[Hui],
Extended social force model-based mean shift for pedestrian tracking under obstacle avoidance,
IET-CV(11), No. 1, February 2017, pp. 1-9.
DOI Link 1703
BibRef

Liu, C., Fujishiro, R., Christopher, L., Zheng, J.,
Vehicle-Bicyclist Dynamic Position Extracted From Naturalistic Driving Videos,
ITS(18), No. 4, April 2017, pp. 734-742.
IEEE DOI 1704
Bicycles BibRef

Lee, J.M.[Jae Moon], Kim, S.D.[Seong-Dong],
A simulation of multiple grouping movements for pedestrians,
IJCVR(7), No. 3, 2017, pp. 276-284.
DOI Link 1704
BibRef

Klinger, T., Rottensteiner, F., Heipke, C.,
Probabilistic multi-person localisation and tracking in image sequences,
PandRS(127), No. 1, 2017, pp. 73-88.
Elsevier DOI 1704
BibRef
Earlier:
A Dynamic Bayes Network for visual Pedestrian Tracking,
PCV14(145-150).
DOI Link 1404
Dynamic Bayesian Network BibRef

Tageldin, A.[Ahmed], Zaki, M.H.[Mohamed H.], Sayed, T.[Tarek],
Examining pedestrian evasive actions as a potential indicator for traffic conflicts,
IET-ITS(11), No. 5, June 2017, pp. 282-289.
DOI Link 1705
BibRef

Gupta, M.[Meenakshi], Kumar, S.[Swagat], Behera, L.[Laxmidhar], Subramanian, V.K.,
A Novel Vision-Based Tracking Algorithm for a Human-Following Mobile Robot,
SMCS(47), No. 7, July 2017, pp. 1415-1427.
IEEE DOI 1706
Cameras, Robot vision systems, Robustness, Target tracking, Visualization, Feedback linearization, K-D tree, Kalman filter, out-of-plane rotations, speeded up robust feature (SURF)-based human tracking, visual, servo, controller BibRef

Gupta, M.[Meenakshi], Garg, S.[Sourav], Kumar, S.[Swagat], Behera, L.[Laxmidhar],
An on-line visual human tracking algorithm using SURF-based dynamic object model,
ICIP13(3875-3879)
IEEE DOI 1402
Auto-regression prediction; Human Tracking; SURF BibRef

Watanabe, T.[Takuya], Akiyama, M.[Mitsuaki], Mori, T.[Tatsuya],
Tracking the Human Mobility Using Mobile Device Sensors,
IEICE(E100-D), No. 8, August 2017, pp. 1680-1690.
WWW Link. 1708
BibRef

Jiang, W.C.[Wen-Chao], Yin, Z.Z.[Zhao-Zheng],
Combining passive visual cameras and active IMU sensors for persistent pedestrian tracking,
JVCIR(48), No. 1, 2017, pp. 419-431.
Elsevier DOI 1708
Persistent pedestrian tracking. BibRef


Martinez, J., Black, M.J., Romero, J.,
On Human Motion Prediction Using Recurrent Neural Networks,
CVPR17(4674-4683)
IEEE DOI 1711
Hidden Markov models, Mathematical model, Predictive models, Recurrent neural networks, Training, Visualization BibRef

Boschini, M., Poggi, M., Mattoccia, S.,
Improving the reliability of 3D people tracking system by means of deep-learning,
IC3D16(1-8)
IEEE DOI 1703
cameras BibRef

Häger, G.[Gustav], Bhat, G.[Goutam], Danelljan, M.[Martin], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael], Rudl, P.[Piotr], Doherty, P.[Patrick],
Combining Visual Tracking and Person Detection for Long Term Tracking on a UAV,
ISVC16(I: 557-568).
Springer DOI 1701
BibRef

Ray, L.[Laura], Miao, T.S.[Tian-Shun],
Towards Real-Time Detection, Tracking and Classification of Natural Video,
CRV16(236-241)
IEEE DOI 1612
real-time motion and video processing. Based on similarity of motion attributes. BibRef

Nguyen, T.L.A., Bremond, F., Trojanova, J.,
Multi-object tracking of pedestrian driven by context,
AVSS16(23-29)
IEEE DOI 1611
Context BibRef

Ramadan, H., Tairi, H.,
Automatic Human Segmentation in Video Using Convex Active Contours,
CGiV16(184-189)
IEEE DOI 1608
convex programming BibRef

Vasconcelos, F., Vasconcelos, N.M.[Nuno M.],
Person-following UAVs,
WACV16(1-9)
IEEE DOI 1606
Computer architecture BibRef

Hassen, Y.H., Ouni, T., Ayedi, W., Jallouli, M.,
Mono-camera person tracking based on template matching and covariance descriptor,
ICCVIA15(1-4)
IEEE DOI 1603
cameras BibRef

Varga, D., Szirányi, T.[Tamás], Kiss, A., Sporas, L., Havasi, L.[László],
A Multi-View Pedestrian Tracking Method in an Uncalibrated Camera Network,
MSF15(184-191)
IEEE DOI 1602
Cameras BibRef

Lombardi, M.[Martino], Vezzani, R.[Roberto], Cucchiara, R.[Rita],
Detection of Human Movements with Pressure Floor Sensors,
CIAP15(II:620-630).
Springer DOI 1511
BibRef

Greco, L., Ritrovato, P.[Pierluigi], Saggese, A.[Alessia], Vento, M.[Mario],
Improving reliability of people tracking by adding semantic reasoning,
AVSS16(194-199)
IEEE DOI 1611
Cognition BibRef

Greco, L., Ritrovato, P.[Pierluigi], Saggese, A.[Alessia], Vento, M.[Mario],
Abnormal Event Recognition: A Hybrid Approach Using SemanticWeb Technologies,
PETS16(1297-1304)
IEEE DOI 1612
BibRef

Gaüzčre, B.[Benoit], Ritrovato, P.[Pierluigi], Saggese, A.[Alessia], Vento, M.[Mario],
Human Tracking Using a Top-Down and Knowledge Based Approach,
CIAP15(I:257-267).
Springer DOI 1511
BibRef

Feng, L.[Linan], Bhanu, B.[Bir],
Tracking People by Evolving Social Groups: An Approach with Social Network Perspective,
WACV15(109-116)
IEEE DOI 1503
Image edge detection BibRef

Ioannidis, D., Krinidis, S., Tzovaras, D., Likothanassis, S.,
Human tracking & visual spatio-temporal statistical analysis,
ICIP14(3417-3419)
IEEE DOI 1502
Buildings BibRef

Rogez, M., Robinault, L., Tougne, L.,
A 3D Tracker for Ground-Moving Objects,
ISVC14(II: 695-705).
Springer DOI 1501
Expand on: See also real time algorithm for people tracking using contextual reasoning, A. BibRef

Madrigal, F.[Francisco], Hayet, J.B.[Jean-Bernard], Lerasle, F.[Frederic],
Intention-Aware Multiple Pedestrian Tracking,
ICPR14(4122-4127)
IEEE DOI 1412
Dynamics; Force; Proposals; Semantics; Target tracking; Trajectory BibRef

Goldhammer, M.[Michael], Doll, K.[Konrad], Brunsmann, U.[Ulrich], Gensler, A.[Andre], Sick, B.[Bernhard],
Pedestrian's Trajectory Forecast in Public Traffic with Artificial Neural Networks,
ICPR14(4110-4115)
IEEE DOI 1412
Head BibRef

Rymut, B.[Boguslaw], Kwolek, B.[Bogdan],
Mixing Graphics and Compute for Real-Time Multiview Human Body Tracking,
ICCVG14(534-541).
Springer DOI 1410
BibRef

Cancela, B., Iglesias, A., Ortega, M., Penedo, M.G.,
Unsupervised Trajectory Modelling Using Temporal Information via Minimal Paths,
CVPR14(2553-2560)
IEEE DOI 1409
geodesic active contours; pedestrian behavior; trajectory analysis BibRef

Kooij, J.F.P.[Julian Francisco Pieter], Schneider, N.[Nicolas], Flohr, F.[Fabian], Gavrila, D.M.[Dariu M.],
Context-Based Pedestrian Path Prediction,
ECCV14(VI: 618-633).
Springer DOI 1408
BibRef

Soudani, A.[Amira], Zagrouba, E.[Ezzeddine],
People Tracking Based on Predictions and Graph-Cuts Segmentation,
ISVC13(II:158-167).
Springer DOI 1311
BibRef

Mutlu, S.[Sinan], Bulň, S.R.[Samuel Rota], Lanz, O.[Oswald],
Exploiting Color Constancy for Robust Tracking Under Non-uniform Illumination,
ICIAR14(II: 403-410).
Springer DOI 1410
BibRef

Mutlu, S.[Sinan], Hu, T.[Tao], Lanz, O.[Oswald],
Learning the Scene Illumination for Color-Based People Tracking in Dynamic Environment,
CIAP13(II:683-692).
Springer DOI 1309
BibRef

Godil, A.[Afzal], Bostelman, R.[Roger], Saidi, K.[Kamel], Shackleford, W.[Will], Cheok, G.[Geraldine], Shneier, M.[Michael], Hong, T.[Tsai],
3D Ground-Truth Systems for Object/Human Recognition and Tracking,
GT13(719-726)
IEEE DOI 1309
Ground-Truth Systems BibRef

Fan, Z.[Zipei], Wang, Z.[Zeliang], Cui, J.S.[Jin-Shi], Davoine, F.[Franck], Zhao, H.J.[Hui-Jing], Zha, H.B.[Hong-Bin],
Monocular Pedestrian Tracking from a Moving Vehicle,
DTCE12(II:335-346).
Springer DOI 1304
BibRef

Hsu, G.S.[Gee-Sern], Nguyen, H.P.[Hong Phuoc], Wu, C.H.[Chien-Hung], Chung, S.L.[Sheng-Leun],
Pedestrian tracking in low contrast regions using aggregated background model and Silhouette Components,
ICPR12(3680-3683).
WWW Link. 1302
BibRef

Wesierski, D.[Daniel], Horain, P.[Patrick],
Pose-Configurable Generic Tracking of Elongated Objects,
ICCV13(2920-2927)
IEEE DOI 1403
configurable tracking BibRef

Wesierski, D.[Daniel], Horain, P.[Patrick], Kowalczuk, Z.[Zdzislaw],
EBE: Elastic blob ensemble for coarse human tracking,
ICIP12(1625-1628).
IEEE DOI 1302
BibRef

Wang, X.Y.[Xiang-Yang], Wan, W.G.[Wang-Gen], Liu, G.C.[Guang-Can],
Multi-Task low-rank and sparse matrix recovery for human motion segmentation,
ICIP12(897-900).
IEEE DOI 1302
BibRef

Eiselein, V., Senst, T., Keller, I., Sikora, T.,
A motion-enhanced hybrid Probability Hypothesis Density filter for real-time multi-human tracking in video surveillance scenarios,
PETS13(6-13)
IEEE DOI 1411
Bayes methods BibRef

Eiselein, V., Arp, D., Patzold, M., Sikora, T.,
Real-Time Multi-human Tracking Using a Probability Hypothesis Density Filter and Multiple Detectors,
AVSS12(325-330).
IEEE DOI 1211
BibRef

Li, P.[Peiyao], Bouzerdoum, A.[Abdesselam], Phung, S.L.[Son Lam],
Adaptive Autoregressive Logarithmic Search for 3D Human Tracking,
AVSS12(343-348).
IEEE DOI 1211
BibRef

Kim, D.[Daegeon], Lee, S.C.[Sung Chun],
Pairwise Threshold for Gaussian Mixture Classification and Its Application on Human Tracking Enhancement,
AVSS12(368-372).
IEEE DOI 1211
BibRef

Nguyen, H.T.[Hoang Thanh], Bhanu, B.[Bir],
Real-Time Pedestrian Tracking with Bacterial Foraging Optimization,
AVSS12(37-42).
IEEE DOI 1211
BibRef

Izadinia, H., Ramakrishna, V., Kitani, K.M., Huber, D.,
Multi-pose multi-target tracking for activity understanding,
WACV13(385-390).
IEEE DOI 1303
BibRef

Izadinia, H.[Hamid], Saleemi, I.[Imran], Li, W.H.[Wen-Hui], Shah, M.[Mubarak],
(MP)2T: Multiple People Multiple Parts Tracker,
ECCV12(VI: 100-114).
Springer DOI 1210
Video:
WWW Link. BibRef

Hellwig, S., Treutner, N.,
Robust Person Tracking With Multiple Non-overlapping Cameras In An Outdoor Environment,
ISPRS12(XXXIX-B5:339-344).
DOI Link 1209
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Nakanishi, W., Fuse, T., Ishikawa, T.,
Adaptive Parameter Estimation of Person Recognition Model in a Stochastic Human Tracking Process,
Seamless15(49-53).
DOI Link 1508
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Nakanishi, W., Fuse, T.,
Sensitive Analysis of Observation Model for Human Tracking Using a Stochastic Process,
CloseRange14(445-450).
DOI Link 1411
BibRef
Earlier:
Multiple Human Tracking In Complex Situation By Data Assimilation With Pedestrian Behavior Model,
ISPRS12(XXXIX-B3:409-414).
DOI Link 1209
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Jensen, T.[Thomas], Rasmussen, H.[Henrik], Moeslund, T.B.[Thomas B.],
Automatic Estimation of Movement Statistics of People,
AMDO12(153-162).
Springer DOI 1208
Tracklets are sufficient. BibRef

Gemignani, G.[Giorgio], Choi, W.[Wongun],
A Bayesian Approach to Tracking Learning Detection,
CIAP13(I:803-812).
Springer DOI 1311
for long term tracking BibRef

Leal-Taixe, L.[Laura], Pons-Moll, G.[Gerard], Rosenhahn, B.[Bodo],
Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker,
MSVALC11(120-127).
IEEE DOI 1201
BibRef

Kretz, T.[Tobias], Hengst, S.[Stefan], Roca, V.[Vidal], Arias, A.P.[Antonia Perez], Friedberger, S.[Simon], Hanebeck, U.D.[Uwe D.],
Calibrating dynamic pedestrian route choice with an Extended Range Telepresence System,
MSVALC11(166-172).
IEEE DOI 1201
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Machida, T.[Takashi], Naito, T.[Takashi],
GPU & CPU cooperative accelerated pedestrian and vehicle detection,
CVGPU11(506-513).
IEEE DOI 1201
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Gong, H.F.[Hai-Feng], Sim, J.[Jack], Likhachev, M.[Maxim], Shi, J.B.[Jian-Bo],
Multi-hypothesis motion planning for visual object tracking,
ICCV11(619-626).
IEEE DOI 1201
Tracking, pedestrians. BibRef

Li, Z.Y.[Zhe-Yuan], Liu, H.[Hong], Xu, C.[Chao],
Real-time human tracking based on switching linear dynamic system combined with adaptive Meanshift tracker,
ICIP11(2329-2332).
IEEE DOI 1201
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Xu, J.F.[Jian-Feng], Takagi, K.[Koichi], Sakazawa, S.[Shigeyuki],
Human Motion Tracking with Monocular Video by Introducing a Graph Structure into Gaussian Process Dynamical Models,
PSIVT11(I: 370-383).
Springer DOI 1111
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Yan, X.[Xu], Kakadiaris, I.A.[Ioannis A.], Shah, S.K.[Shishir K.],
What Do I See? Modeling Human Visual Perception for Multi-person Tracking,
ECCV14(II: 314-329).
Springer DOI 1408
BibRef
Earlier:
Predicting Social Interactions for Visual Tracking,
BMVC11(xx-yy).
HTML Version. 1110
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Zhang, S.[Sen], Gong, J.[Jun], Tham, C.K.[Chen Khong], Xiao, W.D.[Wen-Dong], Ang, M.H., Tham, R.Q.F.,
Mobile sensing and simultaneously node localization in wireless sensor networks for human motion tracking,
ICARCV10(2313-2318).
IEEE DOI 1109
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Kononov, V.[Vladimir], Konushin, V.[Vadim], Konushin, A.[Anton],
People Tracking Algorithm for Human Height Mounted Cameras,
DAGM11(163-172).
Springer DOI 1109
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Sirmacek, B., Reinartz, P.,
Kalman Filter Based Feature Analysis for Tracking People from Airborne Images,
HighRes11(xx-yy).
PDF File. 1106
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Anezaki, T.[Takashi], Eimon, K.[Koki], Tansuriyavong, S.[Suriyon], Yagi, Y.S.[Yasu-Shi],
Development of a human-tracking robot using QR code recognition,
FCV11(1-6).
IEEE DOI 1102
Use QR Codes to locate people. Track. BibRef

Cho, H.G.[Hyung-Gi], Rybski, P.[Paul], Zhang, W.[Wende],
Vision-based Bicyclist Detection and Tracking for Intelligent Vehicles,
CMU-RI-TR-10-11, January, 2010.
WWW Link. 1102
From the vehicle. BibRef

Conte, D., Foggia, P., Percannella, G., Vento, M.,
Performance Evaluation of a People Tracking System on PETS2009 Database,
AVSS10(119-126).
IEEE DOI 1009
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Rosell-Ortega, J.[Juan], Garcia-Andreu, G.[Gabriela], Rodas-Jorda, A.[Angel], Atienza-Vanacloig, V.[Vicente],
A Combined Self-Configuring Method for Object Tracking in Colour Video,
ICPR10(2081-2084).
IEEE DOI 1008
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Ricci, E.[Elisa], Tobia, F.[Francesco], Zen, G.[Gloria],
Learning Pedestrian Trajectories with Kernels,
ICPR10(149-152).
IEEE DOI 1008
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Xing, J.L.[Jun-Liang], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Multiple Human Tracking Based on Multi-view Upper-Body Detection and Discriminative Learning,
ICPR10(1698-1701).
IEEE DOI 1008
BibRef

Micusik, B.[Branislav], Pajdla, T.[Tomas],
Simultaneous surveillance camera calibration and foot-head homology estimation from human detections,
CVPR10(1562-1569).
IEEE DOI 1006
BibRef

Rajalingham, R.[Rishi], Visell, Y.[Yon], Cooperstock, J.R.[Jeremy R.],
Probabilistic Tracking of Pedestrian Movements via In-Floor Force Sensing,
CRV10(143-150).
IEEE DOI 1005
Floor sensors. BibRef

Perbet, F.[Frank], Maki, A.[Atsuto], Stenger, B.[Björn],
Correlated Probabilistic Trajectories for Pedestrian Motion Detection,
ICCV09(1647-1654).
IEEE DOI 0909
BibRef

Ali, A., Terada, K.,
A framework for Human tracking using Kalman filter and fast mean shift algorithms,
THEMIS09(1028-1033).
IEEE DOI 0910
BibRef

Ellis, D.[David], Sommerlade, E.[Eric], Reid, I.D.[Ian D.],
Modelling pedestrian trajectory patterns with Gaussian processes,
VS09(1229-1234).
IEEE DOI 0910
See also Action recognition using shared motion parts. BibRef

Wang, W.Z.[Wen-Zhong], Deng, X.M.[Xiao-Ming], Qiu, X.J.[Xian-Jie], Xia, S.H.[Shi-Hong], Wang, Z.Q.[Zhao-Qi],
Learning local models for 2D human motion tracking,
ICIP09(2589-2592).
IEEE DOI 0911
BibRef

Datta, A.[Ankur], Feris, R.S.[Rogerio S.], Vaquero, D.A.[Daniel A.],
Hierarchical ranking of facial attributes,
FG11(36-42).
IEEE DOI 1103
BibRef

Vaquero, D.A.[Daniel A.], Feris, R.S.[Rogerio S.], Tran, D.[Duan], Brown, L.[Lisa], Hampapur, A.[Arun], Turk, M.A.[Matthew A.],
Attribute-based people search in surveillance environments,
WACV09(1-8).
IEEE DOI 0912
BibRef

Schmidt, F.[Florian], Hinz, S.[Stefan],
A Scheme for the Detection and Tracking of People Tuned for Aerial Image Sequences,
PIA11(257-270).
Springer DOI 1110
BibRef

Burkert, F.[Florian], Schmidt, F.[Florian], Butenuth, M.[Matthias], Hinz, S.[Stefan],
People tracking and trajectory interpretation in aerial image sequences,
PCVIA10(A:209).
PDF File. 1009
BibRef

Holub, A.D.[Alex D.], Moreels, P.[Pierre], Islam, A.[Atiq], Makhanov, A.[Andrei], Yang, R.[Rui],
Towards unlocking web video: Automatic people tracking and clustering,
InterNet09(47-54).
IEEE DOI 0906
BibRef

Yi, O.Y.[Ou-Yang], Yun, L.[Ling], Xing, J.G.[Jian-Guo],
Based-APF human motion tracking from monocular videos,
IASP09(179-183).
IEEE DOI 0904
BibRef

Datta, A.[Ankur], Sheikh, Y.A.[Yaser Ajmal], Kanade, T.[Takeo],
Modeling the product manifold of posture and motion,
THEMIS09(1034-1041).
IEEE DOI 0910
BibRef

Sheikh, Y.A.[Yaser Ajmal], Datta, A.[Ankur], Kanade, T.[Takeo],
On the sustained tracking of human motion,
FG08(1-7).
IEEE DOI 0809
BibRef

Yamashita, T.[Takayoshi], Fujiyoshi, H.[Hironobu], Lao, S.H.[Shi-Hong], Kawade, M.[Masato],
Human tracking based on Soft Decision Feature and online real boosting,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Tsuduki, Y.[Yuji], Fujiyoshi, H.[Hironobu],
A Method for Visualizing Pedestrian Traffic Flow Using SIFT Feature Point Tracking,
PSIVT09(25-36).
Springer DOI 0901
BibRef

Shah, S.K.[Shishir K.],
Commentary Paper on 'Person Tracking With Audio-Visual Cues Using the Iterative Decoding Framework',
AVSBS08(268-269).
IEEE DOI 0809
See also Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework. BibRef

Nicolescu, M.[Mircea],
Commentary Paper on 'Dynamic Models for People Detection and Tracking',
AVSBS08(36-37).
IEEE DOI 0809
See also Dynamic Models for People Detection and Tracking. BibRef

Tung, T.[Tony], Matsuyama, T.[Takashi],
Human motion tracking using a color-based particle filter driven by optical flow,
MLMotion08(xx-yy). 0810
BibRef

Niebles, J.C.[Juan Carlos], Han, B.H.[Bo-Hyung], Ferencz, A.[Andras], Fei-Fei, L.[Li],
Extracting Moving People from Internet Videos,
ECCV08(IV: 527-540).
Springer DOI 0810
BibRef

Niebles, J.C.[Juan Carlos], Han, B.H.[Bo-Hyung], Fei-Fei, L.[Li],
Efficient extraction of human motion volumes by tracking,
CVPR10(655-662).
IEEE DOI 1006
BibRef

Miller, A.[Andrew], Basharat, A.[Arslan], White, B.[Brandyn], Liu, J.G.[Jin-Gen], Shah, M.[Mubarak],
Person and Vehicle Tracking in Surveillance Video,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Miller, A.[Andrew], Babenko, P.[Pavel], Hu, M.[Min], Shah, M.[Mubarak],
Person Tracking in UAV Video,
MTPH07(xx-yy).
Springer DOI 0705
BibRef

Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Clothing cosegmentation for recognizing people,
CVPR08(1-8).
IEEE DOI 0806
For tracking. See also Using a Markov Network to Recognize People in Consumer Images. BibRef

Ren, X.F.[Xiao-Feng],
Finding people in archive films through tracking,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Liu, G.J.[Guo-Jun], Tang, X.L.[Xiang-Long], Huang, J.H.[Jian-Hua], Liu, J.F.[Jia-Feng], Sun, D.[Da],
Hierarchical Model-Based Human Motion Tracking Via Unscented Kalman Filter,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Pflugfelder, R.[Roman], Bischof, H.[Horst],
Tracking across non-overlapping views via geometry,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
People tracking across two distant self-calibrated cameras,
AVSBS07(393-398).
IEEE DOI 0709
BibRef

Tong, M.[Minglei], Liu, Y.C.[Yun-Cai],
Shared Latent Dynamical Model for Human Tracking from Videos,
MCAM07(102-111).
Springer DOI 0706
BibRef

Shivappa, S.T.[Shankar T.], Trivedi, M.M.[Mohan M.], Rao, B.D.[Bhaskar D.],
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework,
AVSBS08(260-267).
IEEE DOI 0809
See also Commentary Paper on Person Tracking With Audio-Visual Cues Using the Iterative Decoding Framework. BibRef

Fihl, P., Corlin, R., Park, S., Moeslund, T.B., Trivedi, M.M.,
Tracking of Individuals in Very Long Video Sequences,
ISVC06(I: 60-69).
Springer DOI 0611
BibRef

Chen, X.[Xi], He, Z.H.[Zhi-Hai], Anderson, D., Keller, J.M., Skubic, M.,
Adaptive Silouette Extraction and Human Tracking in Complex and Dynamic Environments,
ICIP06(561-564).
IEEE DOI 0610
BibRef

Taycher, L.[Leonid], Demirdjian, D.[David], Darrell, T.J.[Trevor J.], Shakhnarovich, G.[Gregory],
Conditional Random People: Tracking Humans with CRFs and Grid Filters,
CVPR06(I: 222-229).
IEEE DOI 0606
BibRef

Demirdjian, D.[David], Taycher, L.[Leonid], Shakhnarovich, G.[Gregory], Grauman, K.[Kristen], Darrell, T.J.[Trevor J.],
Avoiding the 'Streetlight Effect': Tracking by Exploring Likelihood Modes,
ICCV05(I: 357-364).
IEEE DOI 0510
Find modes and use for priors. BibRef

Taycher, L.[Leonid], Fisher, III, J.W.[John W.], Darrell, T.J.[Trevor J.],
Combining Simple Models to Approximate Complex Dynamics,
SMVP04(94).
Springer DOI 0505
BibRef

Zhao, Q.[Qi], Kang, J.M.[Jin-Man], Tao, H.[Hai], Hua, W.[Wei],
Part Based Human Tracking In A Multiple Cues Fusion Framework,
ICPR06(I: 450-455).
IEEE DOI 0609
BibRef

Elgammal, A.M.[Ahmed M.],
Learning to Track: Conceptual Manifold Map for Closed-Form Tracking,
CVPR05(I: 724-730).
IEEE DOI 0507
Learn appearence model and track. BibRef

Elgammal, A.M.[Ahmed M.], Davis, L.S.[Larry S.],
Probabilistic Framework for Segmenting People Under Occlusion,
ICCV01(II: 145-152).
IEEE DOI 0106
BibRef

Siebel, N.T., Maybank, S.J.,
Fusion of Multiple Tracking Algorithms for Robust People Tracking,
ECCV02(IV: 373 ff.).
Springer DOI 0205
BibRef
Earlier:
Real-Time Tracking of Pedestrians and Vehicles,
PETS01(xx-yy). 0110
BibRef

Siebel, N.T.[Nils T],
Design and Implementation of People Tracking Algorithms for Visual Surveillance Applications,
Ph.D.Thesis, March 2003, Department of Computer Science, The University of Reading, Reading, UK.
PDF File. Code, Tracking.
WWW Link. BibRef 0303

Bennewitz, M., Burgard, W., Cielniak, G.,
Utilizing Learned Motion Patterns to Robustly Track Persons,
PETS03(102-109). non-uniform time intervals allowed. BibRef 0300

Zhou, J.P.[Jian-Peng], Hoang, J.[Jack],
Real Time Robust Human Detection and Tracking System,
OTCBVS05(III: 149-149).
IEEE DOI 0507
BibRef

Latzel, M.[Markus], Darcourt, E.[Emilie], Tsotsos, J.K.[John K.],
People Tracking using Robust Motion Detection and Estimation,
CRV05(270-275).
IEEE DOI 0505
BibRef

Yelal, M.R., Sasi, S.,
Human tracking in real-time video for varying illumination,
AVSBS05(141-146).
IEEE DOI 0602
BibRef

Abdelkader, M.F.[Mohamed F.], Chellappa, R.[Rama], Zheng, Q.F.[Qin-Fen], Chan, A.L.[Alex L.],
Integrated Motion Detection and Tracking for Visual Surveillance,
CVS06(28).
IEEE DOI 0602
BibRef

Do, Y.T.[Yong-Tae],
Region Based Detection of Occluded People for the Tracking in Video Image Sequences,
CAIP05(829).
Springer DOI 0509
BibRef

Caillette, F., Howard, T.,
Real-Time Markerless Human Body Tracking with 3-D Voxel Reconstruction,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Roth, D.[Daniel], Doubek, P.[Petr], Van Gool, L.J.[Luc J.],
Bayesian Pixel Classification for Human Tracking,
Motion05(II: 78-83).
IEEE DOI 0502
BibRef

Govindaraju, D.[Dinesh], Browning, B.[Brett], Veloso, M.[Manuela],
Person Tracking from a Dynamic Balancing Platform,
CMU-CS-TR-04-181. 2004.
HTML Version. 0501
BibRef

Yang, M.T.[Mau-Tsuen], Shih, Y.C.[Ya-Chun], Wang, S.C.[Shih-Chun],
People tracking by integrating multiple features,
ICPR04(IV: 929-932).
IEEE DOI 0409
BibRef

Kettnaker, V.M.[Vera M.], Gahm, J.K.,
Closed-loop person tracking and detection,
CRV04(315-320).
IEEE DOI 0408
BibRef

Lan, X.Y.[Xiang-Yang], Huttenlocher, D.P.,
A unified spatio-temporal articulated model for tracking,
CVPR04(I: 722-729).
IEEE DOI
PDF File. 0408
BibRef

Demirdjian, D., Ko, T., Darrell, T.J.,
Constraining human body tracking,
ICCV03(1071-1078).
IEEE DOI 0311
BibRef

Merven, B.[Bruno], Nicolls, F.[Fred], de Jager, G.[Gerhard],
Auto Camera Calibration Method for Person Tracking Applications,
SCIA03(91-100).
Springer DOI 0310
BibRef

Luck, J.P., Debrunner, C.H., Hoff, W., He, Q., Small, D.E.,
Development and analysis of a real-time human motion tracking system,
WACV02(196-202).
WWW Link. 0303
BibRef

Kang, J.M.[Jin-Man], Cohen, I., Medioni, G.,
Continuous multi-views tracking using tensor voting,
Motion02(181-186).
IEEE DOI 0303
See also Detection and Tracking of Moving Objects from Overlapping EO and IR Sensors. BibRef

Kang, E.Y.[Eun-Young], Cohen, I., Medioni, G.,
A robust and non-iterative estimation method of multiple 2d motions,
ICIP04(V: 3367-3370).
IEEE DOI
PDF File. 0505
BibRef
Earlier:
Robust affine motion estimation in joint image space using tensor voting,
ICPR02(IV: 256-259).
IEEE DOI
PDF File. 0211
BibRef

Jesus, R.M.[Rui M.], Abrantes, A.J.[Arnaldo J.], Marques, J.S.[Jorge S.],
Tracking the Human Body Using Multiple Predictors,
AMDO02(155 ff.).
Springer DOI 0303
BibRef

Farmer, M.E., Hsu, R.L.[Rein-Lien], Jain, A.K.,
Interacting multiple model (IMM) kalman filters for robust high speed human motion tracking,
ICPR02(II: 20-23).
IEEE DOI 0211
BibRef

Piau, N.K.[Ng Kim], Ranganath, S.,
Tracking people,
ICPR02(II: 370-373).
IEEE DOI 0211
BibRef

Zhao, H.X.[Hung-Xin], Huang, Y.S.[Yea-Shuan],
Real-time multiple-person tracking system,
ICPR02(II: 897-900).
IEEE DOI 0211
BibRef

Senior, A.W.,
Tracking People with Probabilistic Appearance Models,
PETS02(48-55). 0207
BibRef

Loy, G., Fletcher, L.S., Apostoloff, N., Zelinsky, A.,
An adaptive fusion architecture for target tracking,
AFGR02(248-253).
IEEE DOI 0206
BibRef

Plaenkers, R., Fua, P.,
Model-Based Silhouette Extraction for Accurate People Tracking,
ECCV02(II: 325 ff.).
Springer DOI 0205
BibRef

Fablet, R., Black, M.J.,
Automatic Detection and Tracking of Human Motion with a View-Based Representation,
ECCV02(I: 476 ff.).
Springer DOI 0205
BibRef

Kwatra, V.[Vivek], Bobick, A.F.[Aaron F.], Johnson, A.Y.[Amos Y.],
Temporal Integration of Multiple Silhouette-based Body-part Hypotheses,
CVPR01(II:758-764).
IEEE DOI 0110
See also Appearance-based Body Model for Multiple People Tracking, An. BibRef

Boyd, J.E.[Jeffrey E.], Sayles, M.[Maxwell],
Real-Time Video Phase-Locked Loops,
ICCV01(II: 742).
IEEE DOI 0106
BibRef

Poon, E., Fleet, D.J.,
Hybrid Monte Carlo filtering: Edge-based people tracking,
Motion02(151-158).
IEEE DOI 0303
BibRef

Choo, K.[Kiam], Fleet, D.J.[David J.],
People Tracking Using Hybrid Monte Carlo Filtering,
ICCV01(II: 321-328).
WWW Link. 0106
BibRef

Stuart, B.V.[Bradley V.], Aloimonos, Y.[Yiannis],
Ray Carving with Gradients and Motion,
HUMO00(81-87).
IEEE Top Reference. 0010
Tracking walking person. BibRef

Zhuang, Y., Zhu, Q., Pan, Y., Liu, X.,
Hierarchical Model Based Human Motion Tracking,
ICIP00(Vol III: 86-89).
IEEE DOI 0008
BibRef

Rajagopalan, A.N., Chellappa, R.,
Higher-order Spectral Analysis of Human Motion,
ICIP00(Vol III: 230-233).
IEEE DOI 0008
BibRef

Murakami, S.I., Wada, A.,
An Automatic Extraction and Display Method of Walking Person's Trajectories,
ICPR00(Vol IV: 611-614).
IEEE DOI 0009
BibRef

Bui, H.H., Venkatesh, S., West, G.A.W.,
A Probablistic Framework for Tracking in Wide-area Environments,
ICPR00(Vol IV: 702-705).
IEEE DOI 0009
BibRef

Sigal, L., Bhatia, S., Roth, S., Black, M.J., Isard, M.,
Tracking loose-limbed people,
CVPR04(I: 421-428).
IEEE DOI 0408
BibRef

Roth, S., Sigal, L., Black, M.J.,
Gibbs likelihoods for Bayesian tracking,
CVPR04(I: 886-893).
IEEE DOI 0408
BibRef

Yamamoto, M.[Masanobu], Yagishita, K.[Katsutoshi],
Scene Constraints-Aided Tracking of Human Body,
CVPR00(I: 151-156).
IEEE DOI 0005
Constraints help! BibRef

Heisele, B., Kressel, U., Ritter, W.,
Tracking Non-Rigid Moving Objects Based on Color Cluster Flow,
CVPR97(257-260).
IEEE DOI 9704
People walking; not feature tracking. BibRef

Kato, H.[Hirokazu], Inokuchi, S.[Seiji], Nakazawa, A.[Atsushi],
Human Tracking Using Distributed Vision Systems,
ICPR98(Vol I: 593-596).
IEEE DOI 9808
BibRef

Pingali, S.V.G.K.[Sarma V.G.K.], Segen, J.[Jakub],
Method and apparatus for tracking moving objects in real time using contours of the objects and feature paths,
US_Patent5,764,283, Jun 9, 1998
WWW Link. BibRef 9806

Segen, J.[Jakub],
Method and apparatus for tracking, storing, and synthesizing an animated version of object motion,
US_Patent6,072,504, Jun 6, 2000
WWW Link. BibRef 0006

Segen, J.[Jakub], Pingali, G.S.,
A Camera Based System for Tracking People in Real Time,
ICPR96(III: 63-67).
IEEE DOI 9608
(ATT Bell Laboratories, USA) BibRef

Pingali, G.S., and Segen, J.[Jakub],
Performance Evaluation of People Tracking Systems,
WACV96(33-38).
IEEE DOI 9609
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Crowds, Tracking Multiple People, Multiple Pedestrian Tracking .


Last update:Nov 18, 2017 at 20:56:18