Human Activity Recognition Using Gait Pattern

Authors:
Jay Prakash Gupta;Nishant Singh;Pushkar Dixit;Vijay Bhaskar Semwal;Shiv Ram Dubey
Affiliations:
Systems Engineer, Infosys Limited, Banglore, Karnataka, India;CEA Department, Poornima Group of Colleges, Jaipur, Rajasthan, India;IT Department, Dr. M.P.S. Group of Institutions, Agra, Uttar Pradesh, India;Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India;Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India
Venue:
International Journal of Computer Vision and Image Processing
Year:
2013

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Abstract

Vision-based human activity recognition 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 the authors 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. The authors contribute the use of Model based approach for activity recognition with the help of movement of legs only. Experimental results suggest that their method are able to recognize the human activities with a good accuracy rate and robust to shadows present in the videos.