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基于改进深度学习方法的人体动作识别综述.
- 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]
- Subjects :
- *HUMAN behavior
*DEEP learning
*HUMAN experimentation
*ALGORITHMS
*ACHIEVEMENT
Subjects
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