A new heat-map-based algorithm for human group activity recognition

Authors:
Hang Chu;Weiyao Lin;Jianxin Wu;Xingtong Zhou;Yuanzhe Chen;Hongxiang Li
Affiliations:
Shanghai Jiao Tong University, Shanghai, China;Shanghai Jiao Tong University, Shanghai, China;Nanyang Technological University, Singapore, Singapore;Shanghai Jiao Tong University, Shanghai, China;Shanghai Jiao Tong University, Shanghai, China;University of Louisville, Louisville, KY, USA
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

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Abstract

In this paper, a new heat-map-based (HMB) algorithm is proposed for human group activity recognition. The proposed algorithm first models people trajectories as series of "heat sources" and then applies a thermal diffusion process to create a heat map (HM) for representing the group activities. Based on this heat map, a new surface-fitting (SF) method is also proposed for recognizing human group activities. Our proposed HM feature can efficiently keep the temporal motion information of the group activities while the proposed SF method can effectively catch the characteristics of the heat map for activity recognition. Experimental results demonstrate the effectiveness of our proposed algorithm.