Current advances on deep learning-based human action recognition from videos: a survey

Human action recognition (HAR) from RGB videos is essential and challenging in the computer vision field due to its wide range of real-world applications in fields of human behaviour analysis, human-computer interactions, robotics and surveillance etc. Since the breakthrough and fast development of...

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Bibliographic Details
Main Authors: Yixiao Zhang, Baihua Li, Hui Fang, Qinggang Meng
Format: Default Conference proceeding
Published: 2022
Subjects:
Transformer
Convolutional Neural Networks
Deep learning
Human action recognition
Online Access:https://hdl.handle.net/2134/16645180.v1
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