Holistic Features For Real-Time Crowd Behaviour Anomaly Detection

16 Jun 2016M. MarsdenK. McGuinnessS. LittleN. E. O'Connor

This paper presents a new approach to crowd behaviour anomaly detection that uses a set of efficiently computed, easily interpretable, scene-level holistic features. This low-dimensional descriptor combines two features from the literature: crowd collectiveness [1] and crowd conflict [2], with two newly developed crowd features: mean motion speed and a new formulation of crowd density... (read more)

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