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Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique utilization of particle trajectories for modeling crowded scenes, in which we propose new and efficient representative trajectories for modeling arbitrarily complicated crowd flows. Second, chaotic dynamics are introduced into the crowd context to characterize complicated crowd motions by regulating a set of chaotic
doi:10.1109/cvpr.2010.5539882
dblp:conf/cvpr/WuMS10
fatcat:cfi4pxwu7rfj5otawuwqizlxya