Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, pp.1222-1239, 2001.

R. Cucchiara, C. Grana, M. Piccardi, A. Prati, and S. Sirotti, Improving shadow suppression in moving object detection with HSV color information, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585), pp.334-339, 2001.
DOI : 10.1109/ITSC.2001.948679

A. Elgammal, R. Duraiswami, D. Harwood, and L. Davis, Background and foreground modeling using non-parametric kernel density estimation for visual surveillance, Proc. IEEE, 2002.

P. Hall and M. P. Wand, On the accuracy of binned kernel density estimators, J. Multivariate Analysis, 1995.

T. Kanade, R. Collins, and A. Lipton, Advances in coorperative multi-sensor video surveillance, Proceedings of DARPA, 1998.

K. Karmann, A. Brandt, and R. Gerl, Using adaptive tracking to classify and monitor activities in a site, Time Varying Image Processing and Moving Object Recognition, 1990.

L. Li, W. Huang, I. Gu, and Q. Tian, Statistical Modeling of Complex Backgrounds for Foreground Object Detection, IEEE Transactions on Image Processing, vol.13, issue.11, pp.1459-1472, 2004.
DOI : 10.1109/TIP.2004.836169

Z. Liu, K. Huang, T. Tan, and L. Wang, Cast shadow removal combining local and global features. The Seventh International Workshop on Visual Surveillance, 2007.

N. Martel-brisson and A. Zaccarin, Moving Cast Shadow Detection from a Gaussian Mixture Shadow Model, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.643-648, 2005.
DOI : 10.1109/CVPR.2005.233

A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, Background modeling and subtraction of dynamic scenes, Proceedings Ninth IEEE International Conference on Computer Vision, pp.1305-1312, 2003.
DOI : 10.1109/ICCV.2003.1238641
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.5361

S. Richardson and P. Green, On Bayesian Analysis of Mixtures with an Unknown Number of Components (with discussion), Proc. Roy, pp.731-792, 1997.
DOI : 10.1111/1467-9868.00095

J. Rittscher, J. Kato, S. Joga, and A. Blake, A Probabilistic Background Model for Tracking, 2000.
DOI : 10.1007/3-540-45053-X_22
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.663

Y. Sheikh and M. Shah, Bayesian modeling of dynamic scenes for object detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.11, pp.1778-1792, 2005.
DOI : 10.1109/TPAMI.2005.213

C. Stauffer and W. 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

N. Ueda, R. Nakano, Y. Ghahramani, and G. Hiton, SMEM Algorithm for Mixture Models, Neural Computation, vol.21, issue.9, pp.2109-2128, 2000.
DOI : 10.1207/s15327906mbr0503_6