Human Body Action Tracking and Detection Using Single Layer Neural Network |
Author(s): |
Prashik Ramteke , JSPM Jayawantrao Sawant College of Engineering Pune; Madhav Ingle, JSPM Jayawantrao Sawant College of Engineering Pune; Samarthraj Satbhai , JSPM Jayawantrao Sawant College of Engineering Pune; Siddhi Pawar, JSPM Jayawantrao Sawant of Engineering Pune; Sanvidhan Mapare, JSPM Jayawantrao Sawant College of Engineering Pune |
Keywords: |
Human Action Recognition, Computer Vision and Machine Learning |
Abstract |
Detecting human behavior growing in importance in recent years Wide range of applications spread across different applications fields. Awareness of human behavior plays an important role in this People-to- people exchanges and interpersonal relationships since relationships provide information about identity, personality and mental state of the person. of the human ability to perceive the activities of others one of the major subjects in the natural sciences computer vision and machine learning This research applies to many applications such as video surveillance systems, human-computer interaction, Several duty-free game systems are required action recognition system. Recognition of human behavior it also has very important uses in security systems set up in public places to track down suspects activity or threat. The purpose of this project is Algorithms that can recognize actions such as jogging, crouching, bowling, jumping, kicking, running, etc. Input video sequence. Numerous actions in Video sequences are recognized in each pass Frames of a video sequence. |
Other Details |
Paper ID: IJSRDV11I10116 Published in: Volume : 11, Issue : 1 Publication Date: 01/04/2023 Page(s): 82-84 |
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