Research on Video Behaviour Recognition Methods Based on Deep Learning

Yan Liu, Haimin Zhang


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.


Video Behaviour; Deep Learning; Human Gesture

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Included Database


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