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基于改进深度学习方法的人体动作识别综述.

Authors :
朱相华
智 敏
Source :
Application Research of Computers / Jisuanji Yingyong Yanjiu. Feb2022, Vol. 39 Issue 2, p342-348. 7p.
Publication Year :
2022

Abstract

In order to sort out the development of deep learning methods in the field of human action recognition, this paper summarized the most representative models and algorithms in this field in recent years. Firstly, it described in detail the latest achievements, advantages and disadvantages and network structure of deep learning methods in video pre-processing stage based on the task flow of human action recognition. Then, it introduced two kinds of datasets related to human action recognition. Finally, it discussed and prospected the future research direction of human action recognition. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10013695
Volume :
39
Issue :
2
Database :
Academic Search Index
Journal :
Application Research of Computers / Jisuanji Yingyong Yanjiu
Publication Type :
Academic Journal
Accession number :
154958759
Full Text :
https://doi.org/10.19734/j.issn.1001-3695.2021.07.0296