Title: Partial silhouette-based gait recognition

Authors: Soharab Hossain Shaikh; Khalid Saeed; Nabendu Chaki

Addresses: BML Munjal University, Gurgaon, Haryana, India ' AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Krakow, Poland ' Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

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.

DOI: 10.1504/IJBM.2017.10005047

International Journal of Biometrics, 2017 Vol.9 No.1, pp.1 - 16

Received: 26 Feb 2016
Accepted: 17 Nov 2016

Published online: 13 May 2017 *

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