16.6.2.2 Target and Feature Tracking, Multi-Object, Multiple Objects, Multiple Target

Smith, P., and Buechler, G.,
A Branching Algorithm for Discriminating and Tracking Multiple Objects,
AC(20), 1975, pp. 101-104. BibRef 7500

Reid, D.B.,
An Algorithm for Tracking Multiple Targets,
AC(24), No. 6, December 1979, pp. 843-854. BibRef 7912

Wolf, J.K., Viterbi, A.M., and Dixon, G.S.,
Finding the Best Set of K Paths through a Trellis with Application to Multitarget Tracking,
AeroSys(25), No. 2, March 1989, pp. 287-296. BibRef 8903

Castañon, D.A.,
Efficient Algorithms for Finding the K Best Paths through a Trellis,
AeroSys(26), No. 2, March 1990, pp. 405-410. BibRef 9003

Bray, A.J.[Alistair J.],
Tracking Objects Using Image Disparities,
IVC(8), No. 1, February 1990, pp. 4-9.
WWW Version. BibRef 9002

Bray, A.J.[Alistair J.],
Tracking Curved Objects by Perspective Inversion,
BMVC91(xx-yy).
PDF Version. 9109
BibRef

Cipolla, R., Yamamoto, M.,
Stereoscopic Tracking of Bodies in Motion,
IVC(8), No. 1, February 1990, pp. 85-90.
WWW Version. BibRef 9002

Danchick, R., and Newnam, G.E.,
A Fast Method for Finding the Exact N-Best Hypotheses for Multitarget Tracking,
AeroSys(29), No. 2, 1993, pp. 555-560. BibRef 9300

Cox, I.J., and Miller, M.L.,
On Finding Ranked Assignments with Application to Multi-Target Tracking and Motion Correspondence,
AeroSys(32), No. 1, January 1995, pp. 486-489. BibRef 9501

Cox, I.J., Hingorani, S.L.,
An Efficient Implementation of Reid's Multiple Hypothesis Tracking Algorithm and Its Evaluation for the Purpose of Visual Tracking,
PAMI(18), No. 2, February 1996, pp. 138-150.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9602
Earlier:
An Efficient Implementation and Evaluation of Reid's Multiple Hypothesis Tracking Algorithm for Visual Tracking,
ICPR94(A:437-442).
IEEE DOI Link For Reid: See also Algorithm for Tracking Multiple Targets, An. Track (in the image plane) a large nubmer of corner features through an image sequence. BibRef

Jalihal, D.[Devendra], Nolte, L.W.[Loren W.],
Signal Detection Theory Approach to the Multiple Parallel Moving Targets Problem,
GMIP(55), No. 4, July 1993, pp. 235-yy. BibRef 9307

Wang, L.H., Li, H.J.,
Using Range Profiles for Data Association in Multiple-Target Tracking,
AeroSys(32), No. 1, January 1996, pp. 445-450. BibRef 9601

Srivastava, A., Miller, M.I., and Grenander, U.,
Multiple Target Direction of Arrival Tracking,
TSP(43), No. 5, May 1995, pp. 1282-1285. BibRef 9505

Leung, H.,
Neural-Network Data Association with Application to Multiple-Target Tracking,
OptEng(35), No. 3, March 1996, pp. 693-700. BibRef 9603

Clarke, J.C., Zisserman, A.,
Detection and Tracking of Independent Motion,
IVC(14), No. 8, August 1996, pp. 565-572.
WWW Version. 9609
BibRef
Earlier: BMVC95(xx-yy).
PDF Version. 9509
BibRef

Clarke, J.C., Carlsson, S., and Zisserman, A.,
Detecting and Tracking Linear Features Efficiently,
BMVC96(Tracking). 9608

HTML Version. University of Oxford and Royal Institute of Technology, Stockholm BibRef

Clarke, J.C.[John Christopher],
Applications of Sequence Geometry to Visual Motion,
Ph.D.Thesis, University of Oxford, 1996
HTML Version. BibRef 9600

Perlovsky, L.I.,
Cramer-Rao Bound for Tracking in Clutter and Tracking Multiple Objects,
PRL(18), No. 3, March 1997, pp. 283-288. 9706
BibRef

Chang, K.C., Fung, R.,
Target Identification with Bayesian Networks in a Multiple Hypothesis Tracking System,
OptEng(36), No. 3, March 1997, pp. 684-691. 9704
BibRef

Le Cadre, J.P., Tremois, O.,
Properties and Performance of Extended Target Motion Analysis,
AeroSys(32), No. 1, January 1996, pp. 66-83. BibRef 9601
And: Reply to comments: AeroSys(34), No. 3, July 1998, pp. 1028-1032. 9808
BibRef

Rao, S.K.,
Comments on 'Properties and Performance of Extended Target Motion Analysis',
AeroSys(34), No. 3, July 1998, pp. 1027-1028. 9808
BibRef

Tremois, O., Le Cadre, J.P.,
Target Motion Analysis with Multiple Arrays: Performance Analysis,
AeroSys(32), No. 3, July 1996, pp. 1030-1046. 9608
BibRef

Gauvrit, H., Le Cadre, J.P., Jauffret, C.,
A Formulation of Multitarget Tracking as an Incomplete Data Problem,
AeroSys(33), No. 4, October 1997, pp. 1242-1257. 9710
BibRef

Gelgon, M.[Marc], Bouthemy, P.[Patrick], Le Cadre, J.P.[Jean-Pierre],
Recovery of the trajectories of multiple moving objects in an image sequence with a PMHT approach,
IVC(23), No. 1, 1 January 2004, pp. 19-31.
WWW Version. 0412
PMHT: probabilistic multiple hypothesis tracking. BibRef

Hue, C.[Carine], Le Cadre, J.P.[Jean-Pierre], Perez, P.[Patrick],
Performance Analysis of two Sequential Monte Carlo Methods and Posterior Cramér-Rao Bounds for Multi-Target Tracking,
INRIARR-4450, April 2002.
HTML Version. 0211
BibRef

Hue, C.[Carine], Le Cadre, J.P.[Jean-Pierre], Pérez, P.[Patrick],
Tracking Multiple Objects with Particle Filtering,
INRIARR-4033, October 2000.
HTML Version.
Postscript Version.
PDF Version. 0105
BibRef

Bréhard, T.[Thomas], Le Cadre, J.P.[Jean-Pierre],
Initialization of Particle Filter and Posterior Cramér-Rao Bound for Bearings-Only Tracking in Modified Polar Coordinate System,
INRIARR-5074, 2004.
HTML Version. BibRef 0400

Ickowicz, A.[Adrien], Le Cadre, J.P.[Jean-Pierre],
A New Approach for Target Motion Analysis in a Binary Sensor Network,
M2SFA208(xx-yy). 0810
BibRef

Yankowich, S.W., Farooq, M.,
Hough Transform Based Multisensor, Multitarget, Track Initiation Technique,
OptEng(37), No. 7, July 1998, pp. 2064-2077. 9808
BibRef

Foresti, G.L.,
Detecting multiple objects under partial occlusion by integrating classification and tracking approaches,
IJIST(11), No. 5, 2000, pp. 263-276.
WWW Version. 0110
BibRef

Foresti, G.L.,
Line Segment Based Approach for 3D Motion Estimation and Tracking of Multiple Objects,
PRAI(12), No. 6, September 1998, pp. 881. BibRef 9809

Agbinya, J.I.[Johnson I.], Rees, D.[David],
Multi-Object Tracking in Video,
RealTimeImg(8), No. 5, October 1999, pp. 295-304. 9911
BibRef

Guthrie, T.C.[Thomas C.],
Object tracking system for monitoring a controlled space,
US_Patent5,973,732, Oct 26, 1999
WWW Version. BibRef 9910

MacCormick, J.P.[John P.], Blake, A.[Andrew],
A Probabilistic Exclusion Principle for Tracking Multiple Objects,
IJCV(39), No. 1, August 2000, pp. 57-71.
WWW Version. 0008
BibRef
Earlier: ICCV99(572-578).
IEEE DOI Link See also C-Conditional Density Propagation for Visual Tracking. BibRef

Isard, M.[Michael], MacCormick, J.P.[John P.],
BraMBLe: A Bayesian Multiple-Blob Tracker,
ICCV01(II: 34-41).
IEEE DOI Link 0106
BibRef

Shen, X.[Xinquan], Palmer, P.[Phil],
Uncertainty Propagation and the Matching of Junctions as Feature Groupings,
PAMI(22), No. 12, December 2000, pp. 1381-1395.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0012
In tracking use topology of junctions based on groupings of features which are related to an object. BibRef

Rasmussen, C.[Christopher], Hager, G.D.[Gregory D.],
Probabilistic Data Association Methods for Tracking Complex Visual Objects,
PAMI(23), No. 6, June 2001, pp. 560-576.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0106
BibRef
Earlier:
Joint Probabilistic Techniques for Tracking Multi-part Objects,
CVPR98(16-21).
IEEE Abstract. IEEE Top Reference. Implicitely reason about data associations to improve tracking. A hierarchy of tracking strategies. Derive a randomized tracking algorithm from existing PDAF ( See also Review of Statistical Data Association Techniques for Motion Correspondence, A. ) technique. BibRef

Gennari, G., Hager, G.D.,
Probabilistic data association methods in visual tracking of groups,
CVPR04(II: 876-881).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Tao, H.[Hai], Sawhney, H.S.[Harpreet S.], Kumar, R.T.[Rakesh T.],
Object Tracking with Bayesian Estimation of Dynamic Layer Representations,
PAMI(24), No. 1, January 2002, pp. 75-89.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0201
BibRef
Earlier:
Dynamic Layer Representation with Applications to Tracking,
CVPR00(II: 134-141).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
Decompose video into coherent layers. Spatial and temporal constraints on shape, motion and layers. See also Global Matching Framework for Stereo Computation, A. BibRef

Tao, H.[Hai], Kumar, R.[Rakesh], Sawhney, H.S.[Harpreet Singh],
Method and apparatus for tracking moving objects in a sequence of two-dimensional images using a dynamic layered representation,
US_Patent6,826,292, Nov 30, 2004
WWW Version. BibRef 0411

Tang, F.[Feng], Tao, H.[Hai],
Probabilistic Object Tracking With Dynamic Attributed Relational Feature Graph,
CirSysVideo(18), No. 8, August 2008, pp. 1064-1074.
IEEE DOI Link 0809
BibRef
Earlier:
Non-orthogonal Binary Expansion of Gabor Filters with Applications in Object Tracking,
Motion07(24-24).
IEEE DOI Link 0702
BibRef
Earlier:
Object tracking with dynamic feature graph,
PETS05(25-32).
IEEE DOI Link 0602
BibRef

Molineros, J.[Jose], Sharma, R.[Rajeev],
Real-Time Tracking of Multiple Objects Using Fiducials for Augmented Reality,
RealTimeImg(7), No. 6, December 2001, pp. 495-506.
WWW Version. 0202
See also Computer Vision-Based Augmented Reality for Guiding Manual Assembly. BibRef

Kang, S.[Seonghoon], Lee, S.W.[Seong-Whan],
Real-time tracking of multiple objects in space-variant vision based on magnocellular visual pathway,
PR(35), No. 10, October 2002, pp. 2031-2040.
WWW Version. 0206
BibRef

Mansouri, A.R.[Abdol-Reza],
Region Tracking via Level Set PDEs without Motion Computation,
PAMI(24), No. 7, July 2002, pp. 947-961.
IEEE Abstract. IEEE Top Reference. 0207
See also Comparative Evaluation of Algorithms for Fast Computation of Level Set PDEs with Applications to Motion Segmentation, A. BibRef

Mansouri, A.R., Mitiche, A.,
Region tracking via local statistics and level set PDEs,
ICIP02(III: 605-608).
IEEE Abstract. IEEE Top Reference. 0210
BibRef
And:
Spatial/Joint Space-Time Motion Segmentation of Image Sequences by Level Set Pursuit,
ICIP02(II: 265-268).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Mansouri, A.R., Mitiche, A., Aron, M.,
PDE-Based Region Tracking without Motion Computation by Joint Space-Time Segmentation,
ICIP03(III: 113-116).
IEEE Abstract. IEEE Top Reference. 0312
BibRef

Mansouri, A.R., Olivier, A., Konrad, J.,
Topology-independent Region Tracking with Level Sets,
ICIP00(Vol III: 66-69).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Micheloni, C.[Christian], Foresti, G.L.[Gian Luca],
A robust feature tracker for active surveillance of outdoor scenes,
ELCVIA(1), No. 1 2002, pp. 21-34.
WWW Version. BibRef 0200
Earlier:
Focusing on Target's Features while Tracking,
ICPR06(I: 836-839).
WWW Version. 0609
Track features, compensate for background changes due to camera motion ( See also Generalized Image Matching by the Method of Differences. ) BibRef

Comaniciu, D.[Dorin], Ramesh, V.[Visvanathan], Meer, P.[Peter],
Kernel-based object tracking,
PAMI(25), No. 5, May 2003, pp. 564-577.
IEEE Abstract. IEEE Top Reference. 0304
BibRef
Earlier:
Real-Time Tracking of Non-Rigid Objects using Mean Shift,
CVPR00(II: 142-149).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
BibRef
And: A1, A2 only: US_Patent6,590,999, July 8, 2003.
WWW Version. Award, CVPR. Feature histogram based representation. BibRef

Comaniciu, D.,
Bayesian Kernel Tracking,
DAGM02(438 ff.).
HTML Version. 0303
BibRef

Comaniciu, D., Ramesh, V.,
Mean Shift and Optimal Prediction for Efficient Object Tracking,
ICIP00(Vol III: 70-73).
IEEE Abstract. IEEE Top Reference. 0008
BibRef

Zhou, X.S., Comaniciu, D., Xie, B., Cruceanu, R., Gupta, A.,
A unified framework for uncertainty propagation in automatic shape tracking,
CVPR04(I: 872-879).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Strens, M.J.A.[Malcolm J. A.], Gregory, I.N.[Ian N.],
Tracking in cluttered images,
IVC(21), No. 9, September 2003, pp. 891-911.
WWW Version. 0308
BibRef

Qian, G.[Gang], Chellappa, R.[Rama],
Structure from Motion Using Sequential Monte Carlo Methods,
IJCV(59), No. 1, August 2004, pp. 5-31.
WWW Version. 0404
BibRef
Earlier: ICCV01(II: 614-621).
IEEE DOI Link 0106
Random sampling. BibRef

Qian, G.[Gang], Chellappa, R., Zheng, Q.F.[Qin-Fen],
Bayesian Algorithms for Simultaneous Structure From Motion Estimation of Multiple Independently Moving Objects,
IP(14), No. 1, January 2005, pp. 94-109.
IEEE DOI Link 0501
BibRef
Earlier:
A bayesian approach to simultaneous motion estimation of multiple independently moving objects,
ICPR02(III: 309-314).
IEEE DOI Link 0211
BibRef

Amer, A.,
Voting-based simultaneous tracking of multiple video objects,
CirSysVideo(15), No. 11, November 2005, pp. 1448-1462.
IEEE DOI Link 0512
BibRef

Martins, F.C.M.[Fernando C. M.],
Method for simultaneous visual tracking of multiple bodies in a closed structured environment,
US_Patent6,950,123, Sep 27, 2005
WWW Version. BibRef 0509

Cheng, F.H.[Fang-Hsuan], Chen, Y.L.[Yu-Liang],
Real time multiple objects tracking and identification based on discrete wavelet transform,
PR(39), No. 6, June 2006, pp. 1126-1139.
WWW Version. 0604
Discrete wavelet transform; Inter-frame image difference; Spatial information; Object identification BibRef

García, J.[Jesús], Molina, J.M.[José M.], Besada, J.A.[Juan A.], Portillo, J.I.[Javier I.],
A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques,
JASP(2005), No. 14, 2005, pp. 2341-2358.
WWW Version. 0603
BibRef

Genovesio, A., Liedl, T., Emiliani, V., Parak, W.J., Coppey-Moisan, M., Olivo-Marin, J.C.,
Multiple Particle Tracking in 3-D+t Microscopy: Method and Application to the Tracking of Endocytosed Quantum Dots,
IP(15), No. 5, May 2006, pp. 1062-1070.
IEEE DOI Link 0605
Track multiple biological particles. Detect with wavelet. Track with multiple models. BibRef

Haworth, C.D., de Saint-Pern, Y., Clark, D., Trucco, E., Petillot, Y.R.,
Detection and Tracking of Multiple Metallic Objects in Millimetre-Wave Images,
IJCV(71), No. 2, February 2007, pp. 183-196.
Springer DOI Link 0609
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Haworth, C.D., Petillot, Y.R., Trucco, E.,
Image processing techniques for metallic object detection with millimetre-wave images,
PRL(27), No. 15, November 2006, pp. 1843-1851.
WWW Version. 0609
Millimetre-wave; Detection; Tracking; Crime prevention BibRef

Hsiao, Y.T.[Ying-Tung], Chuang, C.L.[Cheng-Long], Lu, Y.L.[Yen-Ling], Jiang, J.A.[Joe-Air],
Robust multiple objects tracking using image segmentation and trajectory estimation scheme in video frames,
IVC(24), No. 10, 1 October 2006, pp. 1123-1136.
WWW Version. 0609
Mathematical morphology; Edge detection; Image segmentation; Motion estimation BibRef

Kumar, P.[Pankaj], Ranganath, S.[Surendra], Sengupta, K.[Kuntal], Huang, W.M.[Wei-Min],
Cooperative Multitarget Tracking With Efficient Split and Merge Handling,
CirSysVideo(16), No. 12, December 2006, pp. 1477-1490.
IEEE DOI Link 0701
See also Framework for Real-Time Behavior Interpretation From Traffic Video. BibRef

Chilgunde, A., Kumar, P.[Pankaj], Ranganath, S.[Surendra], Huang, W.M.[Wei-Min],
Multi-Camera Target Tracking in Blind Regions of Cameras with Non-overlapping Fields of View,
BMVC04(xx-yy).
HTML Version. 0508
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Kumar, P.[Pankaj], Dick, A.[Anthony], Brooks, M.J.[Michael J.],
Integrated Bayesian multi-cue tracker for objects observed from moving cameras,
IVCNZ08(1-6).
IEEE DOI Link 0811
BibRef
Earlier: A1, A3, A2:
Adaptive Multiple Object Tracking Using Colour and Segmentation Cues,
ACCV07(I: 853-863).
Springer DOI Link 0711
BibRef

Kumar, P.[Pankaj], Brooks, M.J.[Michael J.], van den Hengel, A.[Anton],
An Adaptive Bayesian Technique for Tracking Multiple Objects,
PReMI07(657-665).
Springer DOI Link 0712
BibRef

Shen, C.H.[Chun-Hua], Li, H.D.[Hong-Dong], Brooks, M.J.,
Classification-Based Likelihood Functions for Bayesian Tracking,
AVSBS06(33-33).
IEEE DOI Link 0611
BibRef

Han, M.[Mei], Xu, W.[Wei], Tao, H.[Hai], Gong, Y.H.[Yi-Hong],
Multi-object trajectory tracking,
MVA(18), No. 3-4, August 2007, pp. 221-232.
Springer DOI Link 0706
BibRef
Earlier:
An algorithm for multiple object trajectory tracking,
CVPR04(I: 864-871).
IEEE Abstract. IEEE Top Reference. 0408
BibRef

Han, M.[Mei], Sethi, A., Hua, W.[Wei], Gong, Y.H.[Yi-Hong],
A detection-based multiple object tracking method,
ICIP04(V: 3065-3068).
IEEE DOI Link 0505
BibRef

Zhao, Q.[Qi], Tao, H.[Hai],
Motion Observability Analysis of the Simplified Color Correlogram for Visual Tracking,
ACCV07(I: 345-354).
Springer DOI Link 0711
BibRef
Earlier:
Object Tracking using Color Correlogram,
PETS05(263-270).
IEEE DOI Link 0602
BibRef

Qu, W.[Wei], Schonfeld, D.[Dan],
Real-Time Decentralized Articulated Motion Analysis and Object Tracking From Videos,
IP(16), No. 8, August 2007, pp. 2129-2138.
IEEE DOI Link 0709
BibRef

Qu, W.[Wei], Schonfeld, D.[Dan],
Robust Control-Based Object Tracking,
IP(17), No. 9, September 2008, pp. 1721-1726.
IEEE DOI Link 0810
BibRef
Earlier:
Robust Kernel-Based Tracking using Optimal Control,
ICIP06(1777-1780). 0610

IEEE DOI Link BibRef

Qu, W.[Wei], Schonfeld, D.[Dan], Mohamed, M.[Magdi],
Real-Time Interactively Distributed Multi-Object Tracking Using a Magnetic-Inertia Potential Model,
ICCV05(I: 535-540).
IEEE DOI Link 0510
BibRef

Yuan, C.[Chang], Medioni, G.[Gerard], Kang, J.M.[Jin-Man], Cohen, I.[Isaac],
Detecting Motion Regions in the Presence of a Strong Parallax from a Moving Camera by Multiview Geometric Constraints,
PAMI(29), No. 9, September 2007, pp. 1627-1641.
IEEE DOI Link 0709
BibRef
Earlier: A3, A4, A2, A1:
Detection and Tracking of Moving Objects from a Moving Platform in Presence of Strong Parallax,
ICCV05(I: 10-17).
IEEE DOI Link 0510
Classify into independent regions, then plane+parallax to track. BibRef

Yuan, C.[Chang], Medioni, G.[Gerard],
Inferring 3D Volumetric Shape of Both Moving Objects and Static Background Observed by a Moving Camera,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
Earlier:
3D Reconstruction of Background and Objects Moving on Ground Plane Viewed from a Moving Camera,
CVPR06(II: 2261-2268).
IEEE DOI Link 0606
BibRef

Tharmarasa, R., Kirubarajan, T., Hernandez, L.,
Large-Scale Optimal Sensor Array Management for Multitarget Tracking,
SMC-C(37), No. 5, September 2007, pp. 803-814.
IEEE DOI Link 0710
BibRef

Tharmarasa, R., Kirubarajan, T., Peng, J., Lang, T.,
Optimization-Based Dynamic Sensor Management for Distributed Multitarget Tracking,
SMC-C(39), No. 5, September 2009, pp. 534-546.
IEEE DOI Link 0909
BibRef

Miller, O., Averbuch, A., Navon, E.,
Tracking of Moving Objects in Video Through Invariant Features in Their Graph Representation,
JIVP(2008), No. 2008, pp. xx-yy.
WWW Version. 0811
BibRef

Pernkopf, F.[Franz],
Tracking of Multiple Targets Using Online Learning for Reference Model Adaptation,
SMC-B(38), No. 6, December 2008, pp. 1465-1475.
IEEE DOI Link 0812
BibRef
Earlier:
Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation,
ICIAR07(602-614).
Springer DOI Link 0708
BibRef

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

Humphreys, J.[James], Hunter, A.[Andrew],
Multiple object tracking using a neural cost function,
IVC(27), No. 4, 3 March 2009, pp. 417-424.
Elsevier DOI Link
WWW Version. 0804
Surveillance; Tracking; Background differencing; Self-organizing maps; Neural networks BibRef

Dubuisson, S.[Severine], Fabrizio, J.[Jonathan],
Optimal recursive clustering of likelihood functions for multiple object tracking,
PRL(30), No. 6, 15 April 2009, pp. 606-614.
Elsevier DOI Link
WWW Version. 0903
Tracking; Clustering; Likelihood function; Motion characterization; Gabor filtering BibRef

Dubuisson, S.[Severine],
Recursive Clustering for Multiple Object Tracking,
ICIP06(2805-2808). 0610

IEEE DOI Link BibRef
And:
An adaptive clustering for multiple object tracking in sequences in and beyond the visible spectrum,
OTCBVS06(142).
IEEE DOI Link 0609
BibRef

Jiang, H.[Hao], Fels, S.[Sidney], Little, J.J.[James J.],
Optimizing Multiple Object Tracking and Best View Video Synthesis,
MultMed(10), No. 6, October 2008, pp. 997-1012.
IEEE DOI Link 0905
BibRef
Earlier:
A Linear Programming Approach for Multiple Object Tracking,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef

Fork, R.,
Orbital Debris Mitigation Using Minimum Uncertainty Optical States,
PIEEE(97), No. 6, June 2009, pp. 951-953.
IEEE DOI Link 0905
BibRef

Liu, G.J.[Guo-Jun], Tang, X.L.[Xiang-Long], Cheng, H.D., Huang, J.H.[Jian-Hua], Liu, J.F.[Jia-Feng],
A novel approach for tracking high speed skaters in sports using a panning camera,
PR(42), No. 11, November 2009, pp. 2922-2935.
Elsevier DOI Link
WWW Version. 0907
Tracking; UKF; Hierarchical model; Sports; Short track; Homography BibRef

Lanz, O.[Oswald], Messelodi, S.[Stefano],
A Sampling Algorithm for Occlusion Robust Multi Target Detection,
AVSBS09(346-351).
IEEE DOI Link 0909
BibRef

Yu, J.[Jie], Farin, D.[Dirk], Loos, H.S.[Hartmut S.],
Multi-cue Based Visual Tracking in Clutter Scenes with Occlusions,
AVSBS09(158-163).
IEEE DOI Link 0909
BibRef

Pathan, S.S.[Saira Saleem], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd],
OIF: An Online Inferential Framework for Multi-object Tracking with Kalman Filter,
CAIP09(1087-1095).
Springer DOI Link 0909
BibRef

Wu, Y.[Ying], Fan, J.L.[Jia-Lue],
Contextual flow,
CVPR09(33-40).
IEEE DOI Link 0906
Feature point tracking. BibRef

Xing, J.L.[Jun-Liang], Ai, H.Z.[Hai-Zhou], Lao, S.H.[Shi-Hong],
Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses,
CVPR09(1200-1207).
IEEE DOI Link 0906
BibRef

Ta, D.N.[Duy-Nguyen], Chen, W.C.[Wei-Chao], Gelfand, N.[Natasha], Pulli, K.[Kari],
SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors,
CVPR09(2937-2944).
IEEE DOI Link 0906
Match in the 3D pyramid, validate with motion model. BibRef

Poon, H.S.[Ho Shan], Mai, F.[Fei], Hung, Y.S.[Yeung Sam], Chesi, G.[Graziano],
Robust Detection and Tracking of Multiple Moving Objects with 3D Features by an Uncalibrated Monocular Camera,
MIRAGE09(140-149).
Springer DOI Link 0905
BibRef

Das, S.K.[Sitansu Kumar], Mukherjee, D.P.[Dipti Prasad],
Multiple Objects Tracking via Topology Adaptive Active Membrane,
ICCVGIP08(665-672).
IEEE DOI Link 0812
BibRef

Ma, L.[Lili], Cheng, J.[Jian], Lu, H.Q.[Han-Qing],
Multi-cue collaborative kernel tracking with cross ratio invariant constraint,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Yao, F.[Fenghui], Sekmen, A.[Ali], Malkani, M.[Mohan],
A novel method for real-time multiple moving targets detection from moving IR camera,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Osawa, T.[Tatsuya], Sudo, K.[Kyoko], Arai, H.[Hiroyuki], Koike, H.[Hideki],
Monocular 3D tracking of multiple interacting targets,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Messaoudi, Z.[Zahir], Ouldali, A.[Abdelaziz], Oussalah, M.[Mourad],
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ICISP08(562-569).
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Huang, C.C.[Ching-Chun], Wang, S.J.[Sheng-Jyh],
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ICPR08(1-4).
IEEE DOI Link 0812
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CVPR08(1-8).
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Krahnstoever, N.O.[Nils O.], Yu, T.[Ting], Lim, S.N.[Ser-Nam], Patwardhan, K.[Kedar], Tu, P.H.[Peter H.],
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CRV08(245-252).
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Li, G.[Gang], Tsin, Y.H.[Yang-Hai], Genc, Y.[Yakup],
Exploiting Occluding Contours for Real-Time 3D Tracking: A Unified Approach,
ICCV07(1-8).
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Learn to Track Edges,
ICCV07(1-8).
IEEE DOI Link 0710
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Hernandez, S.[Sergio], Teal, P.[Paul],
Multi-target Tracking with Poisson Processes Observations,
PSIVT07(474-483).
Springer DOI Link 0712
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Pham, N.T.[Nam Trung], Huang, W.M.[Wei-Min], Ong, S.H.,
Probability Hypothesis Density Approach for Multi-camera Multi-object Tracking,
ACCV07(I: 875-884).
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Kachouie, N.N.[Nezamoddin N.], Fieguth, P.[Paul],
Toward an Optimal Solution for Multitarget Tracking,
ICIP07(VI: 329-332).
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Tschumperle, D., Bentolila, Y., Martinot, J., Fadili, J.,
Fast Time-Space Tracking of Smoothly Moving Fine Structures in Image Sequences,
ICIP07(VI: 317-320).
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Sun, Y.[Yi], Bentabet, L.[Layachi],
A Sequential Monte-Carlo and DSmT Based Approach for Conflict Handling in Case of Multiple Targets Tracking,
ICIAR07(526-537).
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Schmaltz, C.[Christian], Rosenhahn, B.[Bodo], Brox, T.[Thomas], Weickert, J.[Joachim], Cremers, D.[Daniel], Wietzke, L.[Lennart], Sommer, G.[Gerald],
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DAGM07(173-183).
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Li, Z.[Zheng], Gong, H.F.[Hai-Feng], Zhu, S.C.[Song-Chun], Sang, N.[Nong],
Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis,
EMMCVPR07(350-361).
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Bose, B.[Biswajit], Wang, X.G.[Xiao-Gang], Grimson, W.E.L.[W. Eric L.],
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CVPR07(1-8).
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BibRef
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Detecting and tracking multiple interacting objects without class-specific models,
CSAIL-2006-027, April 2006.
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Betke, M., Hirsh, D.E., Bagchi, A., Hristov, N.I., Makris, N.C., Kunz, T.H.,
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IEEE DOI Link 0706
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Takala, V.[Valtteri], Pietikainen, M.[Matti],
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IEEE DOI Link 0706
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Kang, H.B.[Hang-Bong], Chun, K.[Kihong],
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Ardo, H., Astrom, K., Berthilsson, R.[Rikard],
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Motion07(2-2).
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Yuan, X.T.[Xiao-Tong], Li, S.Z.,
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ICPR08(1-4).
IEEE DOI Link 0812
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ICPR08(1-4).
IEEE DOI Link 0812
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ICPR08(1-4).
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Kawabata, S.[Satoshi], Hiura, S.[Shinsaku], Sato, K.[Kosuke],
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ICPR06(I: 747-750).
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Chia, A.Y.S.[Alex Yong Sang], Huang, W.M.[Wei-Min],
Multiple Objects Tracking with Multiple Hypotheses Dynamic Updating,
ICIP06(569-572). 0610

IEEE DOI Link BibRef

Chia, A.Y.S.[Alex Yong Sang], Huang, W.M.[Wei-Min], Li, L.Y.[Li-Yuan],
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ECCV06(IV: 107-118).
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Šegvic, S.[Siniša], Remazeilles, A.[Anthony], Chaumette, F.[François],
Enhancing the Point Feature Tracker by Adaptive Modelling of the Feature Support,
ECCV06(II: 112-124).
Springer DOI Link 0608
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Fiala, M.,
Using Normalized Interest Point Trajectories Over Scale for Image Search,
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Track interest points (corners). BibRef

Nillius, P.[Peter], Sullivan, J.[Josephine], Carlsson, S.[Stefan],
Multi-Target Tracking: Linking Identities using Bayesian Network Inference,
CVPR06(II: 2187-2194).
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Adam, A.[Amit], Rivlin, E.[Ehud], Shimshoni, I.[Ilan],
Robust Fragments-based Tracking using the Integral Histogram,
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Adam, A.[Amit],
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Chen, C., Tay, C., Laugier, C., Mekhnacha, K.,
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Lee, H.K.[Heung-Kyu], Ko, H.S.[Han-Seok],
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ICIAR05(852-860).
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Yu, T.[Ting], Wu, Y.[Ying],
Decentralized Multiple Target Tracking Using Netted Collaborative Autonomous Trackers,
CVPR05(I: 939-946).
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Earlier:
Collaborative tracking of multiple targets,
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Xu, L.Q.[Li-Qun], Puig, P.[Pere],
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ICIP05(III: 109-112).
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Bayesian smoothing and filtering for multiframe, multiaspect target detection and tracking,
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Gouiffes, M.[Michele],
Tracking by Combining Photometric Normalization and Color Invariants According to their Relevance,
ICIP07(VI: 145-148).
IEEE DOI Link 0709
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Collewet, C.[Christophe], Marchand, E.[Eric],
Modeling complex luminance variations for target tracking,
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Gouiffès, M.[Michèle], Collewet, C.[Christophe], Fernandez-Maloigne, C.[Christine], Trémeau, A.[Alain],
A Photometric Model for Specular Highlights and Lighting Changes. Application to Feature Points Tracking.,
ICIP06(2117-2120). 0610

IEEE DOI Link BibRef
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Feature Points Tracking: Robustness to Specular Highlights and Lighting Changes,
ECCV06(IV: 82-93).
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Kermad, C., Collewet, C.[Christophe],
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Lefèvre, S.[Sébastien], Vincent, N.[Nicole],
Real Time Multiple Object Tracking Based on Active Contours,
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Lefevre, S., Bouton, E., Brouard, T., Vincent, N.,
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ICIP03(III: 117-120).
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Borghese, N.A., Rigiroli, P.,
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Wu, Y.[Ying], Zhang, Z.Y.[Zheng-You], Huang, T.S.[Thomas S.], Lin, J.Y.[John Y.],
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Chen, H.T.[Hwann-Tzong], Lin, H.H.[Horng-Horng], Liu, T.L.[Tyng-Luh],
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Chen, Y.Q.A.[Yun-Qi-Ang], Huang, T.S.,
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Ichimura, N.[Naoyuki],
Token Grouping Based on 3d Motion and Feature Selection in Object Tracking,
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Kornprobst, P.[Pierre], Medioni, G.[Gerard],
A 2D+t Tensor Voting Based Approach for Tracking,
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Tracking Segmented Objects using Tensor Voting,
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Marcenaro, L., Oberti, F., Regazzoni, C.S.,
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DARPA98(217-222). Mosaic.
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And:
The IMM Algorithms and Aperiodic Data,
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And: BibRef

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Mazor, E., Dayan, J.,
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Fukui, K., Nakai, H., Kuno, Y.,
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Butnicka, J.Z., Monds, F.C.,
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Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking, Multiple Sensors, Multiple Cameras .