Anomalous video event detection using spatiotemporal context

Computer Vision and Image Understanding

Volumn 115, Issue 3, 2011, Pages 323-333

  Jiang, Fan ^a   Yuan, Junsong ^c   Tsaftaris, Sotirios A ^a,b   Katsaggelos, Aggelos K ^a  

^a Northwestern University   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Anomaly detection; Clustering; Context; Data mining; Video surveillance

Indexed keywords

ANOMALY DETECTION; CLUSTERING; CO-OCCURRENCE; COMPUTATIONALLY EFFICIENT; CONTEXT; CONTEXT-AWARE; HIERARCHICAL DATA; MOVING OBJECTS; MULTIPLE VIDEO OBJECTS; NORMAL EVENTS; OBJECT TRAJECTORIES; REAL TRAFFIC; TRAFFIC REGULATIONS; VIDEO EVENTS; VIDEO OBJECTS; VIDEO SURVEILLANCE;

CLUSTER ANALYSIS; DATA MINING; IMAGE CODING; MOTION COMPENSATION; MOTION ESTIMATION;

SECURITY SYSTEMS;

EID: 79951678607     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2010.10.008     Document Type: Article

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