Survey of human action recognition algorithms based on video

Huang Qingqing
Zhou Fengyu
Liu Meizhen
School of Control Science & Engineering, Shandong University, Jinan 250061, China

Abstract

Based on video action recognition, this paper firstly reviewed the traditional action recognition algorithms based on RGB, including traditional algorithms and deep learning algorithms. Because of the influence of background lighting, RGB-video-based action recognition is low accuracy, but it has rich color appearance information. Then this paper analyzed and summarized action recognition algorithms based on RGB-D, which was divided into depth sequence, bone and multi-feature fusion. RGB-D video has multiple modes and can provide more information for action recognition, which performs better than RGB video but also brings new challenges. Finally, this paper prospected the common data sets and the possible future development direction.

Foundation Support

国家重点研发计划资助项目(2017YFB1302400)
山东省重大创新工程资助项目(2017CXGC0926)
国家面上基金资助项目(61375084)
山东省重点研发计划资助项目(2017GGX30133)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0253
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Survey
Pages: 3213-3219
Serial Number: 1001-3695(2020)11-003-3213-07

Publish History

[2020-11-05] Printed Article

Cite This Article

黄晴晴, 周风余, 刘美珍. 基于视频的人体动作识别算法综述 [J]. 计算机应用研究, 2020, 37 (11): 3213-3219. (Huang Qingqing, Zhou Fengyu, Liu Meizhen. Survey of human action recognition algorithms based on video [J]. Application Research of Computers, 2020, 37 (11): 3213-3219. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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