A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.382977
Floor Fields for Tracking in High Density Crowd Scenes, ECCV, pp.1-14, 2008. ,
DOI : 10.1007/978-3-540-88688-4_1
Road Scene Segmentation from a Single Image, ECCV, pp.376-389, 2012. ,
DOI : 10.1007/978-3-642-33786-4_28
Real time robust l1 tracker using accelerated proximal gradient approach, CVPR, 2011. ,
Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods, International Journal of Computer Vision, vol.61, issue.3, pp.211-231, 2005. ,
DOI : 10.1023/B:VISI.0000045324.43199.43
A Distributed Outdoor Video Surveillance System for Detection of Abnormal People Trajectories, 2007 First ACM/IEEE International Conference on Distributed Smart Cameras, pp.364-371, 2007. ,
DOI : 10.1109/ICDSC.2007.4357545
Real-time tracking of nonrigid objects using mean shift, CVPR, pp.142-149, 2000. ,
Changedetection.net: A new change detection benchmark dataset, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012. ,
DOI : 10.1109/CVPRW.2012.6238919
A Markov Clustering Topic Model for mining behaviour in video, 2009 IEEE 12th International Conference on Computer Vision, pp.1165-1172, 2009. ,
DOI : 10.1109/ICCV.2009.5459342
Detecting global motion patterns in complex videos, 2008 19th International Conference on Pattern Recognition, pp.1-5, 2008. ,
DOI : 10.1109/ICPR.2008.4760950
Learning motion patterns in crowded scenes using motion flow field, 2008 19th International Conference on Pattern Recognition, pp.1-5, 2008. ,
DOI : 10.1109/ICPR.2008.4761183
What's going on? Discovering spatio-temporal dependencies in dynamic scenes, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1951-1958, 2010. ,
DOI : 10.1109/CVPR.2010.5539869
Deterministic and probabilistic tractography based on complex fibre orientation distributions Learning trajectory patterns by clustering: Experimental studies and comparative evaluation, CVPR, pp.269-286, 2009. ,
Data-driven crowd analysis in videos, 2011 International Conference on Computer Vision, pp.1235-1242, 2011. ,
DOI : 10.1109/ICCV.2011.6126374
URL : https://hal.archives-ouvertes.fr/hal-00654256
Visual event recognition using decision trees. Multimedia Tools and App, 2009. ,
Identifying Behaviors in Crowd Scenes Using Stability Analysis for Dynamical Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.10, pp.1-8, 2012. ,
DOI : 10.1109/TPAMI.2012.123
Learning Dynamic Event Descriptions in Image Sequences, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007. ,
DOI : 10.1109/CVPR.2007.383075
Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.3, pp.539-555, 2009. ,
DOI : 10.1109/TPAMI.2008.87
Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2054-2060, 2010. ,
DOI : 10.1109/CVPR.2010.5539882
Learning a scene contextual model for tracking and abnormality detection, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2010. ,
DOI : 10.1109/CVPRW.2008.4563039
Comparison of Similarity Measures for Trajectory Clustering in Outdoor Surveillance Scenes, 18th International Conference on Pattern Recognition (ICPR'06), 2006. ,
DOI : 10.1109/ICPR.2006.392
Random field topic model for semantic region analysis in crowded scenes from tracklets, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995459