Person identification using gait

A. Hayder and Jamal Ahmad Dargham and Ali Chekima and G. M. Ervin (2011) Person identification using gait. International Journal of Computer and Electrical Engineering (IJCEE), 3 (4). pp. 477-482. ISSN 1793-8163

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URL: http://www.ijcee.org/papers/364-E892.pdf

Abstract

In this paper, Principal Component Analysis (PCA) with and without Radon Transform (RT) are applied for gait recognition purposes. The Radon Transform is used to detect features within an image and PCA is used to the reduce dimension of the images without much loss of information. The side view of slow walk, fast walk and carrying a ball walk have been selected from the CMU MoBo database for experimental purposes. The two techniques experimental result achieved equal recognition rates (EER) of 85.40%, 78.07% and 90.05% for RT with PCA and 85.18%, 80%, and 89.90% for PCA only for slow walk, fast walk and carrying a ball walk respectively.

Item Type:	Article
Keyword:	Gait recognition , PCA , Radon transform , Segmentation , Silhouette extraction
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines
Department:	FACULTY > Faculty of Engineering
Depositing User:	SAFRUDIN BIN DARUN -
Date Deposited:	30 Nov 2022 08:00
Last Modified:	30 Nov 2022 08:00
URI:	https://eprints.ums.edu.my/id/eprint/34963

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