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16 February 2022 Review of human action recognition based on improved deep learning methods
Xianghua Zhu, Min Zhi
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Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120832E (2022) https://doi.org/10.1117/12.2623162
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China
Abstract
Human action recognition is a basic problem in video tasks. The deep learning method has profound theoretical research significance and strong application value in intelligent monitoring, automatic driving, medical care and other aspects. Firstly, the paper summarizes the video preprocessing and the improvement of network structure, and concludes the latest and hottest deep learning methods in the field of human action recognition. Then two kinds of datasets related to human action recognition are listed and introduced in detail.
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Xianghua Zhu and Min Zhi "Review of human action recognition based on improved deep learning methods", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120832E (16 February 2022); https://doi.org/10.1117/12.2623162
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KEYWORDS
Video
Convolution
Video surveillance
3D modeling
Feature extraction
Neural networks
Optical flow
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