P. Aschwanden and W. Guggenbühl, Experimental results from a comparative study on correlation-type registration algorithms, Robust Computer Vision, pp.268-289, 1992.

M. Black and P. Anandan, The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields, Computer Vision and Image Understanding, vol.63, issue.1, pp.75-104, 1996.
DOI : 10.1006/cviu.1996.0006

A. Doucet, S. Godsill, and C. Andrieu, On sequential monte carlo sampling methods for bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000.
DOI : 10.1023/A:1008935410038

N. J. Gordon, D. J. Salmond, and A. F. Smith, Novel approach to non-linear/non-gaussian bayesian state estimation, IEEE Processing-F, vol.140, issue.2, 1993.
DOI : 10.1049/ip-f-2.1993.0015

C. Hue, Méthodes séquentielles de Monte Carlo pour le filtrage non linéaire multi-objets dans un environnement buité. Applications au pistage multi-cibles et à la trajectographie d'entités dans des séquences d'images 2D, 2003.

M. Irani, B. Rousso, and E. S. Peleg, Computing occluding and transparent motions, IJCV, pp.5-16, 1994.
DOI : 10.1007/bf01420982
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.9031

M. Isard and A. Blake, Condensation ? conditional density propagation for visual tracking, 1998.

M. Isard and J. Maccormick, BraMBLe: a Bayesian multiple-blob tracker, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.34-41, 2001.
DOI : 10.1109/ICCV.2001.937594

H. Jin, P. Favaro, and S. Soatto, Real-time feature tracking and outlier rejection with changes in illumination, pp.684-689, 2001.

A. Kong, J. S. Liu, and W. H. Wong, Sequential Imputations and Bayesian Missing Data Problems, Journal of the American Statistical Association, vol.52, issue.425, pp.278-288, 1994.
DOI : 10.1080/01621459.1987.10478458

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.
DOI : 10.1006/ciun.1994.1042

K. Nickels and S. Hutchinson, Estimating uncertainty in SSD-based feature tracking, Image and Vision Computing, vol.20, issue.1, pp.47-58, 2002.
DOI : 10.1016/S0262-8856(01)00076-2

N. P. Papanikolopoulos, P. K. Khosla, and E. T. Kanade, Visual tracking of a moving target by a camera mounted on a robot: a combination of control and vision, IEEE Transactions on Robotics and Automation, vol.9, issue.1, pp.14-35, 1993.
DOI : 10.1109/70.210792

J. Schmetz, K. Holmlund, J. Hoffman, B. Strauss, B. Mason et al., Operational Cloud-Motion Winds from Meteosat Infrared Images, Journal of Applied Meteorology, vol.32, issue.7, pp.1206-1225, 1993.
DOI : 10.1175/1520-0450(1993)032<1206:OCMWFM>2.0.CO;2

A. Singh and P. Allen, Image-flow computation: An estimation-theoretic framework and a unified perspective, CVGIP: Image Understanding, vol.56, issue.2, pp.152-177, 1992.
DOI : 10.1016/1049-9660(92)90037-4

T. Tommasini, A. Fusiello, E. Trucco, and E. V. Roberto, Making good features track better, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.178-183, 1998.
DOI : 10.1109/CVPR.1998.698606

L. Torresani and C. Bregler, Space-Time Tracking, pp.801-812, 2002.
DOI : 10.1007/3-540-47969-4_53