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ISCAS
2011
IEEE

A new network-based algorithm for multi-camera abnormal activity detection

8 years 2 months ago
A new network-based algorithm for multi-camera abnormal activity detection
In this paper, a new abnormal activity detection algorithm is proposed for multi-camera surveillance applications. The proposed algorithm models the entire scene covered by the multi-camera system as a network. In this network, each node corresponds to a segmentation of the entire scene and each edge represents the activity correlation between the corresponding segmentations. Based on this network, the proposed algorithm further models human activities as the signal transmission process in the network. Thus, abnormal activities can be detected if their ‘network transmission energy’ is obviously larger than the normal case. Compared with the previous methods, the proposed algorithm is more general and is flexible to handle various multi-camera scenarios and configurations. Experimental results demonstrate the effectiveness of the proposed algorithm.
Hongyu Gao, Weiyao Lin, Xiaokang Yang, Hongxiang L
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ISCAS
Authors Hongyu Gao, Weiyao Lin, Xiaokang Yang, Hongxiang Li, Ning Xu, Jun Xie, Yan Li
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