Article,
A Complete Analysis of Human Action Recognition Procedures
INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (5): 593-597 (July 2022)
Abstract
Due to concerns like backdrop cluttering, incomplete obstruction, scale disparities, viewpoint, illumination, and appearance, identifying activities of humans from a sequence of video or still photos are a complex issue. Multiple movement recognition structures is necessary for numerous applications, such as a video investigation mechanism, human computer interface HCI , and robotics for characterising human behaviour. In this work, we bestow a comprehensive assessment of recent and advanced designs involved in the classification of human activity. We outline a classification of human activity approaches and go through their benefits and drawbacks. Specifically, we classify human activities categorization approaches into two broad classes based on if or not they make use of information from several modes. Next, each of these classes is broken down into its subclasses, which illustrate how each category models human activity. Monisa Nazir | Shalini Bhadola | Kirti Bhaia | Rohini Sharma Ä Complete Analysis of Human Action Recognition Procedures" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50522.pdf Paper URL: https://www.ijtsrd.com/computer-science/cognitive-science/50522/a-complete-analysis-of-human-action-recognition-procedures/monisa-nazir
