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Moussa Mansour

1 accepted papers

2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos

CVPR 2019poster

Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors. We propose a new method to model the normal patterns of human movements in surveillance video for anomaly detection using dynamic skeleton features. We decompose the skeletal move…

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