D. Terzopoulos and R. Szeliski, Tracking with kalman snakes. Active vision, pp.3-20, 1993.

M. Isard and A. Blake, Condensation ? conditional density propagation for visual tracking, International Journal of Computer Vision, vol.29, issue.1, pp.5-28, 1998.
DOI : 10.1023/A:1008078328650

J. Maccormick and A. Blake, A probabilistic exclusion principle for tracking multiple objects, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.57-71, 2000.
DOI : 10.1109/ICCV.1999.791275

C. R. Wren, A. Azarbayejani, T. Darrell, and A. P. Pentland, Pfinder: real-time tracking of the human body, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.7, pp.780-785, 1997.
DOI : 10.1109/34.598236

N. Xu and N. Ahuja, Object contour tracking using graph cuts based active contours, Proceedings. International Conference on Image Processing, 2002.
DOI : 10.1109/ICIP.2002.1038959

B. Rosenhahn, U. Kersting, S. Andrew, T. Brox, R. Klette et al., A silhouette based human motion tracking system, pp.1178-3581, 2005.

B. K. Horn and B. G. Schunck, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1651

J. Barron, D. Fleet, and S. Beauchemin, Performance of optical flow techniques, International Journal of Computer Vision, vol.54, issue.1, pp.43-77, 1994.
DOI : 10.1007/BF01420984

A. R. Mansouri and J. Konrad, Multiple motion segmentation with level sets, IEEE Transactions on Image Processing, vol.12, issue.2, pp.201-220, 2003.
DOI : 10.1109/TIP.2002.807582

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.31.7864

G. Adiv, Determining 3D motion and structure from optical flow generated by several moving objects, IEEE Trans. Pattern Anal. Mach. Intell, vol.7, issue.4, pp.384-401, 1985.
DOI : 10.1109/tpami.1985.4767678

A. Yilmaz, O. Javed, and M. Shah, Object tracking, ACM Computing Surveys, vol.38, issue.4, p.13, 2006.
DOI : 10.1145/1177352.1177355

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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.3671

D. Serby, S. Koller-meier, and L. V. , 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

]. D. Comaniciu, V. Ramesh, and P. Meer, 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

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.11, pp.1222-1239, 2001.
DOI : 10.1109/34.969114

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

Y. Boykov and M. P. , Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001.
DOI : 10.1109/ICCV.2001.937505

K. Housni, D. Mammass, and Y. Chahir, Interactive ROI Segmentation using Graph Cuts, GVIP-ICGST Journal, vol.9, issue.6, pp.1-6, 2009.
URL : https://hal.archives-ouvertes.fr/hal-00813390

D. Greig, B. Porteous, and A. Seheult, Exact maximum a posteriori estimation for binary images, Journal of the Royal Statistical Society, Series B, vol.51, issue.2, pp.271-279, 1989.

V. Kwatra, A. Schodl, I. Essa, and A. Bobick, Graphcut textures: image and video synthesis using graph cuts, Proceedings of SIGGRAPH, 2003.
DOI : 10.1145/1201775.882264

V. Kolmogorov, What Energy Functions Can Be Minimized via Graph Cuts, IEEE transactions on pattern analysis and machine intelligence, 2004.
DOI : 10.1109/tpami.2004.1262177

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.1823

A. Goldberg and R. T. October, A new approach to the maximum-flow problem, Journal of the ACM, vol.35, issue.4, pp.921-940, 1988.
DOI : 10.1145/48014.61051

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, 2000.

J. Odobez and P. Bouthemy, Robust Multiresolution Estimation of Parametric Motion Models, Journal of Visual Communication and Image Representation, vol.6, issue.4, pp.348-365, 1995.
DOI : 10.1006/jvci.1995.1029