Research on video activity understanding based on deep learning

Hongjun Chen; Junlian Xiang; Fuqiang Luo; Mingkun Kao; Ruilin Li

doi:10.1117/12.2681212

8 June 2023 Research on video activity understanding based on deep learning

Hongjun Chen, Junlian Xiang, Fuqiang Luo, Mingkun Kao, Ruilin Li

Proceedings Volume 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023); 1270759 (2023) https://doi.org/10.1117/12.2681212
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 2023, Changsha, China

Abstract

There are very rich individual and group activity in the video. It is very significant to excavate the characteristics of individuals and groups and analyze the interaction between them. In this paper convolution neural network and graph relationship are used to identify the activities of individuals and individuals in the video, and the accuracy rate and intersection ratio are used to evaluate, and good results are obtained after verification.

Citation Download Citation

Hongjun Chen, Junlian Xiang, Fuqiang Luo, Mingkun Kao, and Ruilin Li "Research on video activity understanding based on deep learning", Proc. SPIE 12707, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023), 1270759 (8 June 2023); https://doi.org/10.1117/12.2681212

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