Technology of Graphic & Image
|
2532-2537

Skeleton-based action recognition through fusion of spatial-temporal and motion information

Wei Wei
Zheng Cheng
Tang Yuan
Li Chen
School of Software Engineering, Chengdu University of Information Technology, Chengdu 610225, China

Abstract

Aiming at the problem of insufficient utilization of spatio-temporal dependent features and motion information in exi-sting skeletal behavior recognition methods, this paper proposed an improved model that combined motion featured and spatio-temporal attention based on PoseConv3D. Firstly, it used the limb heat map composed of limbs, head, and trunk as input to actively enhance the spatial correlation of adjacent key points. Secondly, it enhanced the use of key spatio-temporal features in the backbone network by introducing spatio-temporal, channel, and motion excitation modules. Finally, it replaced the cross-entropy loss function with the label smoothing loss function to improve the model's generalization ability. The model achieved recognition accuracies of 94.4%(X-Sub) and 97.5%(X-View) on the NTU RGB+D dataset, and 90.5%(X-Sub) and 91.4%(X-View) on the NTU RGB+D 120 dataset. Experiments prove that combining motion features and spatio-temporal attention with skeletal heat maps as input effectively improves the accuracy of behavior recognition.

Foundation Support

四川省科技创新苗子项目(MZGC20230105)
四川省科技厅重点研发项目(2021YFG0299)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.10.0483
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 8
Section: Technology of Graphic & Image
Pages: 2532-2537
Serial Number: 1001-3695(2025)08-038-2532-06

Publish History

[2025-03-13] Accepted Paper
[2025-08-05] Printed Article

Cite This Article

魏维, 郑程, 唐櫞, 等. 融合时空信息与运动信息的骨架行为识别 [J]. 计算机应用研究, 2025, 42 (8): 2532-2537. (Wei Wei, Zheng Cheng, Tang Yuan, et al. Skeleton-based action recognition through fusion of spatial-temporal and motion information [J]. Application Research of Computers, 2025, 42 (8): 2532-2537. )

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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