A Comprehensive Review on Group Activity Recognition in Videos

doi:10.1007/s11633-020-1258-8

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	A Comprehensive Review on Group Activity Recognition in Videos
	Li-Fang Wu 1,2; Qi Wang1 ; Meng Jian 1,2; Yu Qiao 3; Bo-Xuan Zhao 1
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2021
卷号	18 期号:3 页码:334-350
摘要	Human group activity recognition (GAR) has attracted significant attention from computer vision researchers due to its wide practical applications in security surveillance, social role understanding and sports video analysis. In this paper, we give a comprehensive overview of the advances in group activity recognition in videos during the past 20 years. First, we provide a summary and comparison of 11 GAR video datasets in this field. Second, we survey the group activity recognition methods, including those based on hand-crafted features and those based on deep learning networks. For better understanding of the pros and cons of these methods, we compare various models from the past to the present. Finally, we outline several challenging issues and possible directions for future research. From this comprehensive literature review, readers can obtain an overview of progress in group activity recognition for future studies.
关键词	Group activity recognition (GAR) human activity recognition scene understanding video analysis computer vision
DOI	10.1007/s11633-020-1258-8
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/44287
专题	学术期刊_Machine Intelligence Research
作者单位	1.College of Information and Communication Engineering, Beijing University of Technology, Beijing 100124, China 2.Beijing Municipal Key Lab of Computation Intelligence and Intelligent Systems, Beijing University of Technology, Beijing 100124, China 3.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
推荐引用方式 GB/T 7714	Li-Fang Wu,Qi Wang,Meng Jian,et al. A Comprehensive Review on Group Activity Recognition in Videos[J]. International Journal of Automation and Computing,2021,18(3):334-350.
APA	Li-Fang Wu,Qi Wang,Meng Jian,Yu Qiao,&Bo-Xuan Zhao.(2021).A Comprehensive Review on Group Activity Recognition in Videos.International Journal of Automation and Computing,18(3),334-350.
MLA	Li-Fang Wu,et al."A Comprehensive Review on Group Activity Recognition in Videos".International Journal of Automation and Computing 18.3(2021):334-350.

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