A framework for the robust estimation of optical flow, 1993 (4th) International Conference on Computer Vision, 1993. ,
DOI : 10.1109/ICCV.1993.378214
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001. ,
DOI : 10.1109/ICCV.2001.937505
Fast approximate energy minimization via graph cuts, IEEE Trans. Pattern Anal ,
Detection and segmentation of moving objects in highly dynamic scenes, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383244
URL : https://hal.archives-ouvertes.fr/hal-00551596
An algorithm for data-driven bandwidth selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.2, pp.281-288, 2003. ,
DOI : 10.1109/TPAMI.2003.1177159
Mean shift: a robust approach toward feature space analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.5 ,
DOI : 10.1109/34.1000236
Non-parametric Model for Background Subtraction, Proc. Europ. Conf. Computer Vision, 2000. ,
DOI : 10.1007/3-540-45053-X_48
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.592.3233
Image segmentation in video sequences: A probabilistic approach, Uncertainty in Artificial Intelligence, issue.1, pp.175-181, 1997. ,
Exact maximum a posteriori estimation for binary images, J. Royal Statist. Soc, vol.51, issue.2 4, pp.271-279, 1989. ,
Using adaptive tracking to classify and monitor activities in a site, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231) ,
DOI : 10.1109/CVPR.1998.698583
Vision Pattern Rec, 1998. ,
Determining optical flow On the analysis of accumulative difference pictures from image sequence of real world scenes, Artif. Intell, vol.1712, issue.1-3 3, pp.185-203, 1981. ,
An iterative technique of image registration and its application to stereo, Proc. Int. Joint Conf. on Artificial Intelligence, 1981. ,
Comparing Belief Propagation and Graph Cuts for Novelty Detection, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 1 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.80
Motion-based background subtraction using adaptative kernel density estimation, Proc. Conf. Comp. Vision Pattern Rec, 2004. ,
Robust Multiresolution Estimation of Parametric Motion Models, Journal of Visual Communication and Image Representation, vol.6, issue.4, 1995. ,
DOI : 10.1006/jvci.1995.1029
Motion Segmentation at Any Speed, Procedings of the British Machine Vision Conference 2006, 2006. ,
DOI : 10.5244/C.20.44
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.6859
"GrabCut", ACM Transactions on Graphics, vol.23, issue.3, pp.309-314, 2004. ,
DOI : 10.1145/1015706.1015720
Bayesian modeling of dynamic scenes for object detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.11, pp.603-619, 2005. ,
DOI : 10.1109/TPAMI.2005.213
Robust Salient Motion Detection with Complex Background for Real-Time Video Surveillance, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05), Volume 1, 2005. ,
DOI : 10.1109/ACVMOT.2005.106
A Closed Form Solution to Direct Motion Segmentation, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. ,
DOI : 10.1109/CVPR.2005.19
Representing moving images with layers, IEEE Transactions on Image Processing, vol.3, issue.5, pp.625-638, 1994. ,
DOI : 10.1109/83.334981
Detecting salient motion by accumulating directionally-consistent flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.8, pp.774-780, 2000. ,
DOI : 10.1109/34.868680
Accurate motion layer segmentation and matting, Proc. Conf. Comp. Vision Pattern Rec, 2005. ,
Segmenting foreground objects from a dynamic textured background via a robust Kalman filter, Proceedings Ninth IEEE International Conference on Computer Vision, 2003. ,
DOI : 10.1109/ICCV.2003.1238312
Learning a sparse, corner-based representation for time-varying background modeling, Proc. Int. Conf. Computer Vision, 2005. ,