G. Johanson, Visual interpretation of biological motion and a model for its analysis, Percept. Psychophys, pp.73-201, 1973.

J. Zhang, R. Collings, and Y. L. , Bayesian body localization using mixture of non-linear shape models, Proc. IEEE ICCV, pp.725-732, 2005.

C. S. Lee and A. E. , Simultaneous inference of view and body pose using torus manifolds, Proc. ICPR, pp.489-494, 2006.

G. Rogez, C. Orrite-uruuela, and J. M. , A spatio-temporal 2D-models framework for human pose recovery in monocular sequences, Pattern Recognition, vol.41, issue.9, pp.41-2926, 2008.
DOI : 10.1016/j.patcog.2008.02.012

A. F. Bobick and J. W. , The recognition of human movement using temporal templates, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.3, pp.257-267, 2001.
DOI : 10.1109/34.910878

T. Kohonen, Self-organization and associative memory. Springer series in information sciences, 1988.
DOI : 10.1007/978-3-642-88163-3

W. Hu, T. Tan, L. W. Maybank, and S. , A Survey on Visual Surveillance of Object Motion and Behaviors, IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol.34, issue.3, 2004.
DOI : 10.1109/TSMCC.2004.829274

F. Lv and R. Nevatia, Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383131

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.9878

L. Wang and D. Suter, Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition, IEEE Transactions on Image Processing, vol.16, issue.6, pp.1646-1661, 2007.
DOI : 10.1109/TIP.2007.896661

D. Weinland, R. Ronfard, and E. B. , Free viewpoint action recognition using motion history volumes, Computer Vision and Image Understanding, vol.104, issue.2-3, pp.249-257, 2006.
DOI : 10.1016/j.cviu.2006.07.013

URL : https://hal.archives-ouvertes.fr/inria-00544629

D. Weinland, E. B. Ronfard, and R. , Action Recognition from Arbitrary Views using 3D Exemplars, 2007 IEEE 11th International Conference on Computer Vision, pp.1-7, 2007.
DOI : 10.1109/ICCV.2007.4408849

URL : https://hal.archives-ouvertes.fr/inria-00544741

N. Johnson and D. Hogg, Learning the distribution of object trajectories for event recognition, Image and Vision Computing, vol.14, issue.8, pp.609-615, 1996.
DOI : 10.1016/0262-8856(96)01101-8

W. M. Hu, D. X. Tan, and T. N. , A Hierarchical Self-Organizing Approach for Learning the Patterns of Motion Trajectories, IEEE Transactions on Neural Networks, vol.15, issue.1, pp.26-417, 2003.
DOI : 10.1109/TNN.2003.820668

J. Owens and A. Hunter, Application of the self-organizing map to trajectory classification, Proc. IEEE Int.Workshop Visual Surveillance, pp.77-83, 2000.

I. Rhne-alpes-', The inria xmas motion acquisition sequences, 2006.

D. Imaging-research-centre and K. U. , Virtual human action silhouette data, 2008.