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 01678655

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Official URL: http://dx.doi.org/10.1016/j.patrec.2013.01.013

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. (C) 2013 Elsevier B.V. All rights reserved.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 13 Jun 2013 03:17
Last Modified: 13 Jun 2013 03:17
URI: http://shdl.mmu.edu.my/id/eprint/3858

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