Open AccessA Comprehensive Survey on Human Action Recognition
Author(s) -
Mallikarjun Aralimarad,
Meena S. M,
Jayashree D. Mallapur
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3933.079220
Subject(s) - computer science , action (physics) , action recognition , artificial intelligence , process (computing) , feature (linguistics) , feature extraction , human motion , machine learning , motion (physics) , data science , linguistics , philosophy , physics , quantum mechanics , class (philosophy) , operating system
The present The present situation is having many challenges in security and surveillance of Human Action recognition (HAR). HAR has many fields and many techniques to provide modern and technical action implementation. We have studied multiple parameters and techniques used in HAR. We have come out with a list of outcomes and drawbacks of each technique present in different researches. This paper presents the survey on the complete process of recognition of human activity and provides survey on different Motion History Imaging (MHI) methods, model based, multiview and multiple feature extraction based recognition methods.