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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 3
651-660

Review of research on human action recognition methods

Liang Xu
Li Wenxin
Zhang Hangning
Lanzhou Institute of Physics, Lanzhou 730000, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0350

Abstract

With the rapid development of computer vision, human action recognition has shown its wide application prospects and research value in many fields such as video surveillance, video retrieval, and human-computer interaction. Human action recognition involves the understanding of image content, and the progress of practical applications is slow due to the complexity and diversity of human postures and the occlusion factors of the background. This paper comprehensively reviewed the development of human action recognition, and deeply explored the research methods in this field, including traditional manual feature extraction methods and deep learning-based methods, as well as the recently popular graph convolutional network(GCN) -based method. And this paper systematically summarized these methods according to the data types they used. In addition, for different data types, it introduced some popular action recognition datasets, compared and analyzed the performance of various methods on these datasets. Finally, this paper summarized the review, and prospected the future research direction of human actionrecognition.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0350
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 3
Section: Survey
Pages: 651-660
Serial Number: 1001-3695(2022)03-002-0651-10

Publish History

[2021-11-16] Accepted Paper
[2022-03-05] Printed Article

Cite This Article

梁绪, 李文新, 张航宁. 人体行为识别方法研究综述 [J]. 计算机应用研究, 2022, 39 (3): 651-660. (Liang Xu, Li Wenxin, Zhang Hangning. Review of research on human action recognition methods [J]. Application Research of Computers, 2022, 39 (3): 651-660. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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