A. Adam, E. Rivlin, I. Shimshoni, and D. Reinitz, Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.3, pp.555-560, 2008.
DOI : 10.1109/TPAMI.2007.70825

A. F. Bobick and J. W. Davis, 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

O. Boiman and M. Irani, Detecting Irregularities in Images and in Video, International Journal of Computer Vision, vol.60, issue.1, pp.17-31, 2007.
DOI : 10.1007/s11263-006-0009-9

T. Chen, H. Haussecker, A. Bovyrin, R. Belenov, K. Rodyushkin et al., Computer Vision Workload Analysis: Case Study of Video Surveillance Systems, Understanding the Platform Requirements of Emerging Enterprise Solutions, vol.9, issue.2, pp.109-118, 2005.
DOI : 10.1535/itj.0902.02

N. Friedman, S. Russell, I. Haritaoglu, D. Harwood, and L. Davis, Image segmentation in video sequences: A probabilistic approach W4: Real-time surveillance of people and their activities, UAI, pp.175-181, 1997.

H. Boxton, Learning and understanding dynamic scene activity: a review, Image and Vision Computing, vol.21, issue.1, 2003.
DOI : 10.1016/S0262-8856(02)00127-0

W. Hu, T. Tab, L. Wang, and S. Maybank, 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, pp.334-352, 2004.
DOI : 10.1109/TSMCC.2004.829274

W. Hu, X. Xiao, Z. Fu, D. Xie, T. Tan et al., A system for learning statistical motion patterns, IEEE Trans. Pattern Anal. Mach. Intell, vol.28, issue.9, pp.1450-1464, 2006.

P. Jodoin, J. Konrad, and V. Saligrama, Modeling background activity for behavior subtraction, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras, 2008.
DOI : 10.1109/ICDSC.2008.4635683

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

I. Junejo, O. Javed, and M. Shah, Multi feature path modeling for video surveillance, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., pp.716-719, 2004.
DOI : 10.1109/ICPR.2004.1334359
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.75.7798

J. Konrad, Motion detection and estimation, Handbook of Image and Video Processing, pp.253-274, 2005.

S. Lim, H. Fujiyoshi, and R. Patil, A one-threshold algorithm for detecting abandoned packages under severe occlusions using a single camera, 2006.

W. Polonik, Minimum volume sets and generalized quantile processes . Stochastic Process, Appl, 1997.
DOI : 10.1016/s0304-4149(97)00028-8
URL : http://doi.org/10.1016/s0304-4149(97)00028-8

Y. Pritch, A. Rav-acha, and S. Peleg, Nonchronological Video Synopsis and Indexing, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.11, pp.1971-1984, 2008.
DOI : 10.1109/TPAMI.2008.29
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.211.5761

K. Smith, D. Quelhas, and . Gatica-perez, Detecting abandoned luggage items in a public space, IEEE Performance Evaluation of Tracking and Surveillance Workshop (PETS), pp.75-82, 2006.

C. Stauffer and E. Grimson, Learning patterns of activity using real-time tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.747-757, 2000.
DOI : 10.1109/34.868677

W. Zhao, R. Chellappa, P. Phillips, and A. Rosenfeld, Face recognition, ACM Computing Surveys, vol.35, issue.4, pp.399-458, 2003.
DOI : 10.1145/954339.954342
URL : https://hal.archives-ouvertes.fr/hal-01339319