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Gait Recognition using Shoulder Body Joint

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Author(s): Jyoti Bharti | M. K. Gupta

Journal: International Journal of Computer Applications
ISSN 0975-8887

Volume: 53;
Issue: 4;
Start page: 49;
Date: 2012;
Original page

Keywords: Gait recognition | Intersection | Recognition Rate | biometric

ABSTRACT
This paper introduces a new gait recognition approach based on shoulder body joint using in intersection point. This approach is tested on a CASIA database of video sequences, corresponding 10 different subject of people. Obtained better recognition rate as compared to other methods. Consider two component of human body. The first component is shoulder and second component is feet. The second component is subdivided into two parts i. e. toe and heel of both right and left leg. Our proposed method increase the matching accuracy with 98 and 100 percent.
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