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Image Distortion Compensation for Improved Gait Recognition  

Jeon, Ji-Hye (Dept. of Electronic Engineering, The University of Suwon)
Kim, Dae-Hee (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Yang, Yoon-Gi (Dept. of Information and Communication Engineering, The University of Suwon)
Paik, Joon-Ki (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Lee, Chang-Su (Dept. of Electronic Engineering, The University of Suwon)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.46, no.4, 2009 , pp. 97-107 More about this Journal
Abstract
In image-based gait recognition systems, physical factors, such as the camera angle and the lens distortion, and environmental factors such as illumination determines the performance of recognition. In this paper we present a robust gait recognition method by compensating various types of image distortions. The proposed method is compared with existing gait recognition algorithm with consideration of both physical and environmental distortion factors in the input image. More specifically, we first present an efficient compensation algorithm of image distortion by using the projective transform, and test the feasibility of the proposed algorithm by comparing the recognition performances with and without the compensation process. Proposed method gives universal gait data which is invariant to both distance and environment. Gained data improved gait recognition rate about 41.5% in indoor image and about 55.5% in outdoor image. Proposed method can be used effectively in database(DB) construction, searching and tracking of specific objects.
Keywords
Gait recognition; projective transform; camera distortion; biometrics measure;
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Times Cited By KSCI : 2  (Citation Analysis)
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