Gait recognition via optimally interpolated deformable contours

Lee, Chin-Poo and Tan, Alan W. C. and Tan, Shing Chiang (2013) Gait recognition via optimally interpolated deformable contours. Pattern Recognition Letters, 34 (6). pp. 663-669. ISSN 0167-8655

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Abstract

Gait as a biometric was inspired by the ability to recognize an acquaintance by his manner of walking even when seen at a distance. In this paper, we describe a novel Fourier descriptor based gait recognition method that models the periodic deformation of human contours. A new measure of similarity using the product of Fourier coefficients is proposed as a distance measure between closed curves. In order to maximize the similarity between subsequent closed curves, the assembly of contours in gait cycle is circularly shifted by a circular permutation matrix. Subsequently, an element-wise frame interpolation is correspondingly applied to produce length invariant gait signatures. The experiments on OU-ISIR gait database and CASIA gait database reveal promising recognition accuracy. The element-wise frame interpolation method is able to preserve temporal information even when the gait cycles change, and therefore offers a better robustness to slight variation in walking speed.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Feb 2014 00:22
Last Modified: 19 Feb 2014 00:22
URI: http://shdl.mmu.edu.my/id/eprint/5274

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