Open AccessTHE HUMAN ACTIVITY DETECTION FROM VIDEO SURVEILLANCE BASED ON HMM FOR FUTURE DEVELOPMENT IN COMPUTER ENVIRONMENT
Author(s) -
Kanchan Gaikwad,
Vaibhav Narawade
Publication year - 2014
Publication title -
international journal of computer science and informatics
Language(s) - English
Resource type - Journals
ISSN - 2231-5292
DOI - 10.47893/ijcsi.2014.1147
Subject(s) - computer science , hidden markov model , artificial intelligence , activity recognition , computer vision , action recognition , software , image (mathematics) , tracking (education) , action (physics) , pattern recognition (psychology) , psychology , pedagogy , class (philosophy) , physics , quantum mechanics , programming language
Visual investigation of human activities related to the detection, tracking and recognition of people, and, more generally, the perceptive of human activities, from image sequences. Recognizing human activities from image sequences is an active area of research in computer vision. Human activity recognition (HAR) research has been on the rise because of the rapid technological development of the image-capturing software and hardware. In this paper, we propose a new approach for human action recognition from video. Here we use the HMM algorithm for recognition of activity from video. The result of this method is good as compare to other method. It consume less time as compare with other method. This result can be useful in future development as an automatic human machine interaction.