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2010
IEEE

Video anomaly detection in spatiotemporal context

8 years 7 months ago
Video anomaly detection in spatiotemporal context
Compared to other approaches that analyze object trajectories, we propose to detect anomalous video events at three levels considering spatiotemporal context of video objects, i.e., point anomaly, sequential anomaly, and co-occurrence anomaly. A hierarchical data mining approach is proposed to achieve this task. At each level, the frequency based analysis is performed to automatically discover regular rules of normal events. The events deviating from these rules are detected as anomalies. Experiments on real traffic video prove that the detected video anomalies are hazardous or illegal according to the traffic rule.
Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Ag
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICIP
Authors Fan Jiang, Junsong Yuan, Sotirios A. Tsaftaris, Aggelos K. Katsaggelos
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