Survey of human action recognition using deep learning
Survey of human action recognition using deep learning
Video-based Human Action Recognition using Deep Learning: A Review
arXiv paper abstract https://arxiv.org/abs/2208.03775v1
arXiv PDF paper https://arxiv.org/pdf/2208.03775v1.pdf
Human action recognition … aim is to accurately describe human actions and their interactions from a previously unseen data sequence acquired by sensors.
The ability to recognize, understand, and predict complex human actions enables … intelligent surveillance systems, human-computer interfaces, health care, security, and military applications.
… deep learning has been given particular attention by the computer vision community.
… presents an overview of the current state-of-the-art in action recognition using video analysis with deep learning techniques.
… present the most important deep learning models for recognizing human actions, and analyze them to provide the current progress of deep learning algorithms applied to solve human action recognition problems in realistic videos highlighting their advantages and disadvantages.
… study identifies state-of-the-art deep architectures in action recognition and then provides current trends and open problems for future works in this field.
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