Group activity recognition with group interaction zone

Young Ji Kim, Nam Gyu Cho, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)9781479952083
Publication statusPublished - 2014 Jan 1
Event22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
Duration: 2014 Aug 242014 Aug 28


Other22nd International Conference on Pattern Recognition, ICPR 2014

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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