Affiliation:
1. Netaji Subhas Institute of Technology
Abstract
An interesting problem in Biometrics Research is human identification by reliable extraction of anatomical and behavioral patterns of a person from his manner of walking. Till now the identification through the said characteristics has been addressed by mostly using marker-based methods. These methods have limited applications in the area of security, where a person must be ‘marked’ for correct identification. To mitigate this limitation, we propose a marker-less, model- based approach (ST-Gait) for human identification using gait. The proposed method is simple but effective, and involves low computational complexity. It is validated on a well- known benchmark database (gait database A of CASIA). The encouraging experimental results show that the technique achieves an accuracy of 90% and can be a promising tool for human identification in the area of security.
Publisher
Trans Tech Publications, Ltd.
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