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Partial silhouette-based gait recognition

Partial silhouette-based gait recognition Gait analysis refers to identification of a person from the systemic study of the motions of his/her different body parts at the time of walking. It is one of the behavioural biometric approaches to human identification. Like other behavioural approaches, gait also suffers from low-repeatability leading to poor recognition accuracy. Therefore, multimodal systems are required for better recognition accuracy. With the advent of multimodal biometric systems there is a need for low-cost methods for individual biometric modalities so that the overall complexity of the system does not overshoot the real-time requirements. In view of this, a partial-silhouette-based approach for gait recognition is reported in this article. This approach is translation, rotation and scale invariant and is low-cost in terms of computational complexity. Experimental results and comparative performance analysis on benchmark dataset reveal the potential of the partial-silhouette-based approach. Keywords: gait analysis; appearance-based approach; human identification; partial-silhouette-based approach; gait biometrics. Reference to this paper should be made as follows: Shaikh, S.H., Saeed, K. and Chaki, N. (2017) `Partial silhouette-based gait recognition', Int. J. Biometrics, Vol. 9, No. 1, pp.1­16. Biographical notes: Soharab Hossain Shaikh completed his PhD and Post-graduation from University of Calcutta. He is currently working as an http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Biometrics Inderscience Publishers

Partial silhouette-based gait recognition

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Publisher
Inderscience Publishers
Copyright
Copyright © 2017 Inderscience Enterprises Ltd.
ISSN
1755-8301
eISSN
1755-831X
DOI
10.1504/IJBM.2017.084130
Publisher site
See Article on Publisher Site

Abstract

Gait analysis refers to identification of a person from the systemic study of the motions of his/her different body parts at the time of walking. It is one of the behavioural biometric approaches to human identification. Like other behavioural approaches, gait also suffers from low-repeatability leading to poor recognition accuracy. Therefore, multimodal systems are required for better recognition accuracy. With the advent of multimodal biometric systems there is a need for low-cost methods for individual biometric modalities so that the overall complexity of the system does not overshoot the real-time requirements. In view of this, a partial-silhouette-based approach for gait recognition is reported in this article. This approach is translation, rotation and scale invariant and is low-cost in terms of computational complexity. Experimental results and comparative performance analysis on benchmark dataset reveal the potential of the partial-silhouette-based approach. Keywords: gait analysis; appearance-based approach; human identification; partial-silhouette-based approach; gait biometrics. Reference to this paper should be made as follows: Shaikh, S.H., Saeed, K. and Chaki, N. (2017) `Partial silhouette-based gait recognition', Int. J. Biometrics, Vol. 9, No. 1, pp.1­16. Biographical notes: Soharab Hossain Shaikh completed his PhD and Post-graduation from University of Calcutta. He is currently working as an

Journal

International Journal of Biometrics – Inderscience Publishers

Published: Jan 1, 2017

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