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TCSV
2010

Group Event Detection With a Varying Number of Group Members for Video Surveillance

13 years 6 months ago
Group Event Detection With a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications. We propose to use a group representative to handle the recognition with a varying number of group members, and use an asynchronous hidden Markov model (AHMM) to model the relationship between people. Furthermore, we propose a group activity detection algorithm which can handle both symmetric and asymmetric group activities, and demonstrate that this approach enables the detection of hierarchical interactions between people. Experimental results show the effectiveness of our approach.
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng
Added 21 May 2011
Updated 21 May 2011
Type Journal
Year 2010
Where TCSV
Authors Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zhengyou Zhang
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