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.

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.

Jan 5, 2016 · PDF | A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes.

Results show that the proposed novel method for crowd flow modeling and anomaly detection achieves higher accuracy in anomaly detection and can effectively ...

Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes. January 2013. Authors: Shandong Wu at University of Pittsburgh.

May 27, 2018 · Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes. In 2010 IEEE Computer Society Conference on ...

Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes. In Computer Vision and Pattern Recogni- tion (CVPR), 2010 ...

An accurate and real-time anomaly detection and localization in crowded scenes, and two descriptor for representing anomalous behavior in video are proposed.

Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes. In Proceedings of the Computer Vision and Pattern.

Intell. (2014). S. Wu, B.E. Moore, M. Shah, Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded... U. Kang, L. Akoglu ...