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Group Activity Recognition with Group Interaction Zone Based on Relative Distance Between Human Objects

Authors
Cho, Nam-GyuKim, Young-JiPark, UnsangPark, Jeong-SeonLee, Seong-Whan
Issue Date
8월-2015
Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
Keywords
Human group activity recognition; visual surveillance; machine vision; pattern recognition
Citation
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v.29, no.5
Indexed
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume
29
Number
5
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/92867
DOI
10.1142/S0218001415550071
ISSN
0218-0014
Abstract
In this paper, we address the problem of recognizing group activities of 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 to effectively handle noisy information. Two novel features, Group Interaction Energy (GIE) feature and Attraction and Repulsion Features, are proposed to better describe group activities within a GIZ. We demonstrate the performance of our method in two ways by (i) comparing the performance of the proposed method with the previous methods and (ii) analyzing the influence of the proposed features and GIZ-based meaningful group detection on group activity recognition using public datasets.
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