Research on Video Behaviour Recognition Methods Based on Deep Learning

Yan Liu, Haimin Zhang

Abstract


Currently, in the field of computer vision, video behaviour recognition has become a hot content and has been applied in many emerging industries. This paper explores the application of deep learning method in video behaviour recognition technology by taking the multi-temporal information fusion recognition method as an example, and investigates the practical application value of this method by constructing a model of artificial neural network and taking an experimental approach, in order to have positive significance to the development of intelligent human-computer interaction technology in China.


Keywords


Video Behaviour; Deep Learning; Human Gesture

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References


Liu SS. Deep learning based RGB video human behavior recognition [D]. Shandong University, 2021.

Zhou YY. Research on human abnormal behavior recognition method based on deep learning for surveillance video [D]. Henan University of Technology, 2021.

Pu ZX, Ge YX. A small-sample video behavior recognition algorithm based on multi-feature fusion[J]. Journal of Computer Science, 2023, 46(03):594-608.

Huang M, Shang RX, Qian HM. A composite deep neural network for human behavior recognition in video[J]. Pattern Recognition and Artificial Intelligence, 2022, 35(06): 562-570.

Li C, He M, Wang Y, Luo L, Han W. A review of video behavior recognition techniques based on deep learning[J]. Computer Application Research, 2022, 39(09): 2561-2569.




DOI: https://doi.org/10.18686/esta.v10i5.537

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