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.
GAIKWAD, KANCHAN and NARAWADE, VAIBHAV
"THE HUMAN ACTIVITY DETECTION FROM VIDEO SURVEILLANCE BASED ON HMM FOR FUTURE DEVELOPMENT IN COMPUTER ENVIRONMENT,"
International Journal of Computer Science and Informatics: Vol. 3
, Article 12.
Available at: https://www.interscience.in/ijcsi/vol3/iss3/12