Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection

In this paper, we propose a new method to detect abnormal behavior in crowd video. The motion influence matrix is proposed to represent crowd behaviors. It is generated based on concept of human perception with block-level motion vectors which describe actual crowd movement. Furthermore, a generaliz...

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Veröffentlicht in:	Proceedings - IEEE Computer Society Conference on Pattern Recognition and Image Processing S. 110 - 114
Hauptverfasser:	Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2013
Schlagworte:	Anomaly detection Computer vision Conferences Crowd analysis Feature extraction Force Legged locomotion Pattern recognition Vectors video surveillance
ISSN:	0730-6512
Online-Zugang:	Volltext
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