S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

J. Boyd, Video phase-locked loops in gait recognition, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.696-703, 2001.
DOI : 10.1109/ICCV.2001.937591

I. Dryden and K. Mardia, Statistical Shape Analysis, 1998.

N. Jin and F. Mokhtarian, Human motion recognition based on statistical shape analysis, IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2005), pp.4-9, 2005.

K. Kim, T. Chalidabhongse, D. Harwood, and L. Davis, Real-time foreground???background segmentation using codebook model, Real-Time Imaging, vol.11, issue.3, pp.172-185, 2005.
DOI : 10.1016/j.rti.2004.12.004

H. W. Kuhn, The Hungarian method for the assignment problem, Naval Research Logistics Quarterly, vol.3, issue.1-2, pp.83-97, 1955.
DOI : 10.1002/nav.3800020109

T. Lee and A. Mihailidis, An intelligent emergency response system: preliminary development and testing of automated fall detection, Journal of Telemedicine and Telecare, vol.11, issue.4, pp.194-198, 2005.
DOI : 10.1258/1357633054068946

G. Mori and J. Malik, Estimating Human Body Configurations Using Shape Context Matching, European Conference on Computer Vision LNCS 2352, pp.666-680, 2002.
DOI : 10.1007/3-540-47977-5_44

H. Nait-charif and S. Mckenna, Activity summarisation and fall detection in a supportive home environment, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.323-326, 2004.
DOI : 10.1109/ICPR.2004.1333768

N. Noury, A. Fleury, P. Rumeau, A. Bourke, G. Laighin et al., Fall detection - Principles and Methods, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.1663-1666, 2007.
DOI : 10.1109/IEMBS.2007.4352627

URL : https://hal.archives-ouvertes.fr/hal-00201202

A. Sixsmith and N. Johnson, A smart sensor to detect the falls of the elderly, IEEE Pervasive Computing, vol.3, issue.2, pp.42-47, 2004.
DOI : 10.1109/MPRV.2004.1316817

B. Töreyin, Y. Dedeoglu, and A. , Hmm based falling person detection using both audio and video, IEEE International Workshop on Human-Computer Interaction, 2005.

L. Wang, H. Ning, W. Hu, and T. Tan, Gait recognition based on Procrustes shape analysis, Proceedings. International Conference on Image Processing, pp.433-436, 2002.
DOI : 10.1109/ICIP.2002.1038998