In this paper, we address the problem of recognizing group activities that include interactions between human objects based on their motion trajectory analysis. In order to resolve the complexity and ambiguity problems caused by a large number of human objects, we propose a Group Interaction Zone (GIZ) to detect meaningful groups in a scene so as to be robust against noisy information. Two novel features, Group Interaction Energy feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the effectiveness of our method with other methods on the public BEHAVE dataset.
|Title of host publication
|Proceedings - International Conference on Pattern Recognition
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 2014 Jan 1
|22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
Duration: 2014 Aug 24 → 2014 Aug 28
|22nd International Conference on Pattern Recognition, ICPR 2014
|14/8/24 → 14/8/28
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition