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Gait recognition based on Gabor wavelets and modified gait energy image for human identification

[+] Author Affiliations
Deng-Yuan Huang

Dayeh University, Department of Electrical Engineering, 168 University Rd., Dacun, Changhua 515, Taiwan

Ta-Wei Lin

Dayeh University, Department of Electrical Engineering, 168 University Rd., Dacun, Changhua 515, Taiwan

Wu-Chih Hu

National Penghu University of Science and Technology, Department of Computer Science and Information Engineering, 300 Liu-Ho Road, Makung, Penghu 880, Taiwan

Chih-Hsiang Cheng

Dayeh University, Department of Electrical Engineering, 168 University Rd., Dacun, Changhua 515, Taiwan

J. Electron. Imaging. 22(4), 043039 (Dec 20, 2013). doi:10.1117/1.JEI.22.4.043039
History: Received June 18, 2013; Revised November 4, 2013; Accepted November 26, 2013
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Abstract.  This paper proposes a method for recognizing human identity using gait features based on Gabor wavelets and modified gait energy images (GEIs). Identity recognition by gait generally involves gait representation, extraction, and classification. In this work, a modified GEI convolved with an ensemble of Gabor wavelets is proposed as a gait feature. Principal component analysis is then used to project the Gabor-wavelet-based gait features into a lower-dimension feature space for subsequent classification. Finally, support vector machine classifiers based on a radial basis function kernel are trained and utilized to recognize human identity. The major contributions of this paper are as follows: (1) the consideration of the shadow effect to yield a more complete segmentation of gait silhouettes; (2) the utilization of motion estimation to track people when walkers overlap; and (3) the derivation of modified GEIs to extract more useful gait information. Extensive performance evaluation shows a great improvement of recognition accuracy due to the use of shadow removal, motion estimation, and gait representation using the modified GEIs and Gabor wavelets.

© 2013 SPIE and IS&T

Citation

Deng-Yuan Huang ; Ta-Wei Lin ; Wu-Chih Hu and Chih-Hsiang Cheng
"Gait recognition based on Gabor wavelets and modified gait energy image for human identification", J. Electron. Imaging. 22(4), 043039 (Dec 20, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.043039


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