INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.6, No.3, Feb. 2014

Gender Classification Method Based on Gait Energy Motion Derived from Silhouette Through Wavelet Analysis of Human Gait Moving Pictures

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Author(s)

Kohei Arai, Rosa Andrie Asmara

Index Terms

Gender Classification, Human Gait, Gait Energy Motion, Wavelet Analysis

Abstract

Gender classification method based on Gait Energy Motion: GEM derived through wavelet analysis of human gait moving pictures is proposed. Through experiments with human gait moving pictures, it is found that the extracted features of wavelet coefficients using silhouettes images are useful for improvement of gender classification accuracy. Also, it is found that the proposed gender classification method shows the best classification performance, 97.63% of correct classification ratio.

Cite This Paper

Kohei Arai, Rosa Andrie Asmara,"Gender Classification Method Based on Gait Energy Motion Derived from Silhouette Through Wavelet Analysis of Human Gait Moving Pictures", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.3, pp.1-11, 2014. DOI: 10.5815/ijitcs.2014.03.01

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