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A review on computer vision-based methods for human action recognition
Mahmoud M. N. Al-Faris
,
John Chiverton
, David L. Ndzi
, Ahmed Isam Ahmed
Institute of Life Sciences and Healthcare
University of the West of Scotland
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peer-review
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reviews
100%
humans
100%
vision
100%
computers
100%
data
25%
learning
25%
comparative evaluations
25%
applications
25%
datasets
25%
interactions
25%
surveillance
25%
hands
25%
recommendations
25%
Computer Science
Computer Vision
100%
human action recognition
100%
Recognition System
50%
Representation Method
25%
Action Recognition
25%
Video Surveillance
25%
Deep Learning Method
25%
Multimodality
25%
Generative Model
25%
Health Care
25%
Engineering
Computervision
100%
Human Action
100%
State-of-the-Art Method
25%
Generative Model
25%
Deep Learning Method
25%
Target Recognition
25%
Health Care
25%
Medicine and Dentistry
Health Care
100%