Technology of Graphic & Image
|
3446-3450

Feature learning and action recognition method based on depth information

Song Yihang
Hu Jing
Xu Chao
Meng Zhaopeng
College of Intelligence & Computing, Tianjin University, Tianjin 300072, China

Abstract

In order to recognize complex interactive actions, this paper proposed a feature learning method based on depth information, and used a two-layer classification strategy to solve similar action recognition problems. The method analyzed the depth image action sequence from the frequency domain, extracted the frequency domain features, used VAE for spatial feature compression representation, established HMM to simulate time series changes and performed the first layer action recognition. In order to solve the problem of similar actions, this paper introduced three-dimensional joint point features for the second layer action recognition. Experimental results show that these two types of features can effectively represent the meaning of gestures on the SBU-Kinect action data set, the strategy is simple and effective and can get high recognition accuracy.

Foundation Support

国家重点基础研究发展计划资助项目(2018YFB1701700)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0067
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Technology of Graphic & Image
Pages: 3446-3450
Serial Number: 1001-3695(2021)11-043-3446-05

Publish History

[2021-11-05] Printed Article

Cite This Article

宋轶航, 胡静, 徐超, 等. 基于深度信息的特征学习与动作识别方法 [J]. 计算机应用研究, 2021, 38 (11): 3446-3450. (Song Yihang, Hu Jing, Xu Chao, et al. Feature learning and action recognition method based on depth information [J]. Application Research of Computers, 2021, 38 (11): 3446-3450. )

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.

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