Analysis of Gait Pattern to Recognize the Human Activities

Author
Keywords
Abstract
Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer interaction and video retrieval. The challenges are due to variations in motion, recording settings and gait differences. Here we propose an approach to recognize the human activities through gait. Activity recognition through Gait is the process of identifying an activity by the manner in which they walk. The identification of human activities in a video, such as a person is walking, running, jumping, jogging etc are important activities in video surveillance. We contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that our method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos.
Year of Publication
2014
Journal
International Journal of Interactive Multimedia and Artificial Intelligence
Volume
2
Issue
Special Issue on Multisensor User Tracking and Analytics to Improve Education and other Application Fields
Number
7
Number of Pages
7-16
Date Published
09/2014
ISSN Number
1989-1660
Citation Key
URL
http://www.ijimai.org/JOURNAL/sites/default/files/files/2014/09/ijimai20142_7_1_pdf_23675.pdf
DOI
10.9781/ijimai.2014.271
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