A. Ali and J. Aggarwal, Segmentation and recognition of continuous human activity, Proceedings IEEE Workshop on Detection and Recognition of Events in Video, pp.28-35, 2001.
DOI : 10.1109/EVENT.2001.938863

M. Ashdown, K. Oka, and Y. Sato, Combining head tracking and mouse input for a GUI on multiple monitors, CHI '05 extended abstracts on Human factors in computing systems , CHI '05, pp.1188-1191, 2005.
DOI : 10.1145/1056808.1056873

S. Avidan, Support vector tracking, Proceedings of the Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.184-191, 2001.

Y. Bar-shalom, T. Fortmann, and M. Scheffe, Sonar tracking of multiple targets using joint probabilistic data association, IEEE Journal of Oceanic Engineering, vol.8, issue.3, pp.173-184, 1983.

R. Bellman, The theory of dynamic programming, Bulletin of the American Mathematical Society, vol.60, issue.6, pp.503-516, 1954.
DOI : 10.1090/S0002-9904-1954-09848-8

J. Berclaz, F. Fleuret, and P. Fua, Multiple object tracking using flow linear programming, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp.1-8, 2009.
DOI : 10.1109/PETS-WINTER.2009.5399488

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.4254

J. Berclaz, E. Turetken, F. Fleuret, and P. Fua, Multiple Object Tracking Using K-Shortest Paths Optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.9, pp.1806-1819, 2011.
DOI : 10.1109/TPAMI.2011.21

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.1390

M. Bertalmío, G. Sapiro, and G. Randall, Morphing active contours, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.7, pp.733-737, 2000.
DOI : 10.1109/34.865191

M. Black and A. Jepson, EigenTracking: Robust Matching and Tracking of Articulated Objects Using a, 1998.

A. Blake and M. Isard, Active Contours: The Application of Techniques from Graphics,Vision,Control Theory and Statistics to Visual Tracking of Shapes in Motion Feature point tracking for incomplete trajectories, Computing, vol.62, pp.321-338, 1998.
DOI : 10.1007/978-1-4471-1555-7

D. Comaniciu, R. V. Meer, and P. , Kernel-based object tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.5, pp.564-575, 2003.
DOI : 10.1109/TPAMI.2003.1195991

T. Cornelissen, M. Elsing, I. Gavrilenko, W. Liebig, E. Moyse et al., The new atlas track reconstruction (newt) Journal of Physics Meaningful alignments, Conference Series Int Journal of Computer Vision, vol.119, issue.401, pp.7-23, 2000.

A. Desolneux, L. Moisan, and J. Morel, Edge detection by Helmholtz principle, Journal of Mathematical Imaging and Vision, vol.14, issue.3, pp.271-284, 2001.
DOI : 10.1023/A:1011290230196

URL : https://hal.archives-ouvertes.fr/hal-00170793

A. Desolneux, L. Moisan, and J. Morel, From Gestalt Theory to Image Analysis: A Probabilistic Approach (Interdisciplinary Applied Mathematics) Interpreting face images using active appearance models, Procedings of the Int. Conference on Face & Gesture Recognition (FG), pp.300-305, 1998.
DOI : 10.1007/978-0-387-74378-3

P. Fieguth and D. Terzopoulos, Color-based tracking of heads and other mobile objects at video frame rates, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997.
DOI : 10.1109/CVPR.1997.609292

F. Fleuret, J. Berclaz, R. Lengagne, and P. Fua, Multicamera People Tracking with a Probabilistic Occupancy Map, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.2, pp.267-282, 2008.
DOI : 10.1109/TPAMI.2007.1174

B. Grosjean and L. Moisan, A-contrario Detectability of Spots in??Textured Backgrounds, Journal of Mathematical Imaging and Vision, vol.68, issue.2, pp.313-337, 2009.
DOI : 10.1007/s10851-008-0111-4

URL : https://hal.archives-ouvertes.fr/hal-00534713

L. Gui and W. Merzkirch, A method of tracking ensembles of particle images, Experiments in Fluids, vol.21, issue.6, pp.465-468, 1996.
DOI : 10.1007/BF00189049

D. Huttenlocher, J. Noh, and W. Rucklidge, Tracking nonrigid objects in complex scenes, Proceedings of the Int. Conf. on Computer Vision (ICCV), pp.93-101, 1993.

H. Jiang, S. Fels, and J. Little, A Linear Programming Approach for Multiple Object Tracking, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383180

J. Kang, I. Cohen, and G. Medioni, Object reacquisition using invariant appearance model, Proceedings of the Int. Conf. on Pattern Recognition, pp.759-762, 2004.

G. Kanizsa, D. Koller, J. Weber, and J. Malik, Grammatica del vedere Il Mulino Robust multiple car tracking with occlusion reasoning, Proceedings of the European Conf. on Computer Vision (ECCV), pp.189-196, 1980.

L. Moisan and B. Stival, A Probabilistic Criterion to Detect Rigid Point Matches Between Two Images and Estimate the Fundamental Matrix, International Journal of Computer Vision, vol.57, issue.3, pp.201-218, 2004.
DOI : 10.1023/B:VISI.0000013094.38752.54

URL : https://hal.archives-ouvertes.fr/hal-00171323

J. Munkres, Algorithms for the Assignment and Transportation Problems, Journal of the Society for Industrial and Applied Mathematics, vol.5, issue.1, pp.32-38, 1957.
DOI : 10.1137/0105003

K. Murty, Letter to the Editor???An Algorithm for Ranking all the Assignments in Order of Increasing Cost, Operations Research, vol.16, issue.3, pp.682-687, 1968.
DOI : 10.1287/opre.16.3.682

N. Noury, F. Sur, and M. Berger, Determining point correspondences between two views under geometric constraint and photometric consistency, p.7246, 2010.
URL : https://hal.archives-ouvertes.fr/inria-00471874

N. Paragios and R. Deriche, Geodesic active contours and level sets for the detection and tracking of moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.3, pp.266-280, 2000.
DOI : 10.1109/34.841758

F. Pighin, R. Szeliski, and D. Salesin, Resynthesizing facial animation through 3D model-based tracking, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.143-150, 1999.
DOI : 10.1109/ICCV.1999.791210

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.3794

K. Rangarajan and M. Shah, Establishing motion correspondence, Proceedings of the Int. Conf. on Computer Vision and Pattern Recognition (CVPR), pp.103-108, 1991.
DOI : 10.1109/cvpr.1991.139669

D. Reid, An algorithm for tracking multiple targets, IEEE Transactions on Automatic Control, vol.24, issue.6, pp.843-854, 1979.
DOI : 10.1109/TAC.1979.1102177

A. Robin, L. Moisan, and S. Hégarat-mascle, An A-Contrario Approach for Subpixel Change Detection in Satellite Imagery, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.11, pp.1977-1993, 2010.
DOI : 10.1109/TPAMI.2010.37

URL : https://hal.archives-ouvertes.fr/hal-00399698

R. Ronfard, Region-based strategies for active contour models, International Journal of Computer Vision, vol.23, issue.3, pp.229-251, 1994.
DOI : 10.1007/BF01427153

URL : https://hal.archives-ouvertes.fr/inria-00544609

V. Salari and I. Sethi, Feature point correspondence in the presence of occlusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.1, pp.87-91, 1990.
DOI : 10.1109/34.41387

K. Sato and J. Aggarwal, Temporal spatio-velocity transform and its application to tracking and interaction, Computer Vision and Image Understanding, vol.96, issue.2, pp.100-128, 2004.
DOI : 10.1016/j.cviu.2004.02.003

I. Sbalzarini and P. Koumoutsakos, Feature point tracking and trajectory analysis for video imaging in cell biology, Journal of Structural Biology, vol.151, issue.2, pp.182-95, 2005.
DOI : 10.1016/j.jsb.2005.06.002

D. Serby, E. Koller-meier, and L. Gool, Probabilistic object tracking using multiple features, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.184-187, 2004.
DOI : 10.1109/ICPR.2004.1334091

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.4574

I. Sethi and R. Jain, Finding Trajectories of Feature Points in a Monocular Image Sequence, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.1, pp.56-73, 1987.
DOI : 10.1109/TPAMI.1987.4767872

K. Shafique and M. Shah, A non-iterative greedy algorithm for multi-frame point correspondence, Proceedings Ninth IEEE International Conference on Computer Vision, pp.110-115, 2003.
DOI : 10.1109/ICCV.2003.1238321

I. Smal, W. Niessen, and E. Meijering, A new detection scheme for multiple object tracking in fluorescence microscopy by joint probabilistic data association filtering, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.264-267, 2008.
DOI : 10.1109/ISBI.2008.4540983

R. Streit and T. Luginbuhl, Maximum likelihood method for probabilistic multihypothesis tracking, Signal and Data Processing of Small Targets, pp.394-405, 1994.
DOI : 10.1117/12.179066

H. Tao, H. Sawhney, and R. Kumar, Object tracking with Bayesian estimation of dynamic layer representations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.1, pp.75-89, 2002.
DOI : 10.1109/34.982885

C. Veenman, M. Reinders, and E. Backer, Resolving motion correspondence for densely moving points, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.1, pp.54-72, 2001.
DOI : 10.1109/34.899946

C. Veenman, M. Reinders, and E. Backer, Establishing motion correspondence using extended temporal scope, Artificial Intelligence, vol.145, issue.1-2, pp.227-243, 2003.
DOI : 10.1016/S0004-3702(02)00380-6

C. Veenman, M. Reinders, and E. Backer, Motion tracking as a constrained optimization problem, Pattern Recognition, vol.36, issue.9, pp.2049-2067, 2003.
DOI : 10.1016/S0031-3203(03)00037-2

T. Veit, F. Cao, and P. Bouthemy, An a contrario Decision Framework for Region-Based Motion Detection, International Journal of Computer Vision, vol.17, issue.10, pp.163-178, 2006.
DOI : 10.1007/s11263-006-6661-2

T. Veit, F. Cao, and P. Bouthemy, Space-time A Contrario Clustering for Detecting Coherent Motions, Proceedings 2007 IEEE International Conference on Robotics and Automation, pp.33-39, 2007.
DOI : 10.1109/ROBOT.2007.363761

URL : https://hal.archives-ouvertes.fr/hal-00379413

M. Wertheimer, Untersuchungen zur Lehre von der Gestalt, Psychologische Forschung, vol.1, issue.1, pp.47-58, 1922.
DOI : 10.1007/BF00410385

A. Yilmaz, X. Li, and M. Shah, Contour-based object tracking with occlusion handling in video acquired using mobile cameras, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.11, pp.1531-1536, 2004.
DOI : 10.1109/TPAMI.2004.96

A. Yilmaz, O. Javed, and M. Shah, Object tracking, ACM Computing Surveys, vol.38, issue.4, 2006.
DOI : 10.1145/1177352.1177355

S. Zhu and A. Yuille, Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-900, 1996.
DOI : 10.1109/ICCV.1995.466909