Y. Bar-shalom and X. R. Li, Estimation and Tracking : Principles, Techniques and Software, 1993.

A. Blake and M. Isard, Active contours, 1998.
DOI : 10.1007/978-1-4471-1555-7

I. J. Cox, A review of statistical data association techniques for motion correspondence, International Journal of Computer Vision, vol.7, issue.3, pp.53-66, 1993.
DOI : 10.1007/BF01440847

I. J. Cox and S. L. Hingorani, An efficient implementation of Reid's multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.18, issue.2, pp.138-150, 1996.
DOI : 10.1109/34.481539

P. Cox, H. Ma??trema??tre, M. Minoux, and C. Ribeiro, Optimal matching of convex polygons, Pattern Recognition Letters, vol.9, issue.5, pp.327-334, 1989.
DOI : 10.1016/0167-8655(89)90061-5

A. P. Dempster, N. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, J. Royal Statistical Society Ser. B, vol.39, pp.1-38, 1977.

T. E. Fortmann, Y. Bar-shalom, 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.
DOI : 10.1109/JOE.1983.1145560

H. Gauvrit, C. Jauffret, and J. P. Le-cadre, A formulation of multitarget tracking as an incomplete data problem, IEEE Transactions on Aerospace and Electronic Systems, vol.33, issue.4, pp.1242-1257, 1997.
DOI : 10.1109/7.625121

M. Gelgon, P. Bouthemy, and J. Cadre, Associating and estimating trajectories of multiple moving regions with a probabilistic multi-hypothesis tracking approach, Proceedings of Int. Symposium of Physics in Image Processing, pp.80-83, 1999.

E. Giannopoulos, R. Streit, and P. Swaszek, Multi-target track segment bearingonly association and ranging, 31rst Asilomar Conference on Signals, Systems and Computers, 1997.

R. Hammoud and R. Mohr, Mixture densities for video objects recognition, International Conference on Pattern Recognition (ICPR'2000), pp.71-75, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00548296

C. Hue, J. Cadre, and P. Pérez, Tracking multiple objects with particle filtering, IEEE Transactions on Aerospace and Electronic Systems, vol.38, issue.3, pp.791-812, 2002.
DOI : 10.1109/TAES.2002.1039400
URL : https://hal.archives-ouvertes.fr/inria-00072605

M. Isard and A. Blake, CONDENSATION -conditional density propagation for visual tracking, Int. Journal of Computer Vision, vol.1, issue.29, pp.5-28, 1998.

F. Marques and C. Molina, Object tracking for content-based functionalities, SPIE Visual Communication and Image Processing, pp.190-198, 1997.

F. Meyer and P. Bouthemy, Exploiting the temporal coherence of motion for linking partial spatio-temporal trajectories, Proc of IEEE Int. Conf. on Computer Vision and Pattern Recognition, pp.746-747, 1993.

F. Meyer and P. Bouthemy, Region-based tracking using affine motion models in long image sequences, CVGIP : Image Understanding, vol.60, issue.2, pp.119-140, 1994.

K. J. Molnar and J. W. Modestino, Application of the EM algorithm for the multitarget/multisensor tracking problem, IEEE Transactions on Signal Processing, vol.46, issue.1, pp.115-128, 1998.
DOI : 10.1109/78.651193

F. Moscheni, S. Bhattacharjee, and M. Kunt, Spatio-temporal segmentation based on region merging, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.9, pp.897-915, 1998.
DOI : 10.1109/34.713358

J. Odobez and P. Bouthemy, Robust multiresolution estimation of parametric motion models. Jal of Visual Communication and Image Representation, pp.348-365, 1995.

J. M. Odobez and P. Bouthemy, Direct incremental model-based image motion segmentation for video analysis, Signal Processing, vol.66, issue.2, pp.143-156, 1998.
DOI : 10.1016/S0165-1684(98)00003-6

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

C. Rasmussen and G. D. Hager, Joint probabilistic techniques for tracking multi-part objects, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.18-26, 1998.
DOI : 10.1109/CVPR.1998.698582

R. A. Redner and H. Walker, Mixture Densities, Maximum Likelihood and the EM Algorithm, SIAM Review, vol.26, issue.2, pp.195-239, 1984.
DOI : 10.1137/1026034

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

M. Ringer and J. Lasenby, Multiple Hypothesis Tracking for Automatic Optical Motion Capture, Proc. of European Conference on Computer Vision (ECCV'2002), pp.524-536, 2002.
DOI : 10.1007/3-540-47969-4_35

A. Strandlie and J. Zerubia, Particle tracking with iterated Kalman filters and smoothers: the PMHT algorithm, Computer Physics Communications, vol.123, issue.1-3, pp.77-86, 1999.
DOI : 10.1016/S0010-4655(99)00258-1

R. L. Streit, Studies in Probabilistic Multi-Hypothesis Tracking and Related Topics, volume SES 98-01, 1998.

R. L. Streit and T. E. , A probabilistic multi-hypothesis tracking algorithm without enumeration and pruning, Proc. of the 6th Joint Service Data Fusion Symposium, pp.1015-1024, 1993.

J. Tarel, S. Ieng, and P. Charbonnier, Using Robust Estimation Algorithms for Tracking Explicit Curves, Proc. of European Conference on Computer Vision (ECCV'2002), pp.492-507, 2002.
DOI : 10.1007/3-540-47969-4_33
URL : https://hal.archives-ouvertes.fr/inria-00000851

K. Wall and P. E. Danielsson, A fast sequential method for polygonal approximation of digitized curves, Computer Vision, Graphics, and Image Processing, pp.220-227, 1984.

M. A. Zaveri, U. B. Desai, and S. N. Merchant, PMHT based multiple point targets tracking using multiple models in infrared image sequence, Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance, 2003., pp.73-79, 2003.
DOI : 10.1109/AVSS.2003.1217904

Z. Zhang and O. Faugeras, Three-dimensional motion computation and object segmentation in a long sequence of stereo frames, International Journal of Computer Vision, vol.9, issue.1, pp.211-241, 1992.
DOI : 10.1007/BF00126394
URL : https://hal.archives-ouvertes.fr/inria-00075122