Citation

Ng, Hu and Tan, Wooi Haw and Abdullah, Junaidi (2014) Multi-view Gait Based Biometric System. International Journal of Soft Computing and Software Engineering (JSCSE), 4 (1). pp. 1-12. ISSN 2251-7545

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Abstract

This paper presents a multi-view gait based biometric system that able to work well in various walking trajectories and covariate factors such as clothing, load carrying and speed of walking. Our approach first applies perspective correction to alter the silhouettes from oblique view to side-view plane. Next, joint locations of hip, knees and ankles are estimated based on a priori information of human body proportion. Dynamic and static gait features are then extracted by the proposed extraction technique. Gaussian filter is applied to smooth the features in order to reduce the influence of outliers. Feature normalization and selection are subsequently applied before the classification process. The experiments were carried out on SOTON Oblique Database and SOTON Covariate Database from University of Southampton. From the experimental results, the proposed system achieved 92.5% and 96.0% correct classification rates for both databases respectively.

Item Type:	Article
Uncontrolled Keywords:	gait recognition, biometrics, covariate factors
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA164 Bioengineering
Divisions:	Faculty of Computing and Informatics (FCI) Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	09 Sep 2016 03:26
Last Modified:	09 Sep 2016 03:26
URII:	http://shdl.mmu.edu.my/id/eprint/6057

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