Volume 18, Issue 1 (March 2022)                   IJEEE 2022, 18(1): 2140-2140 | Back to browse issues page

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Karizi A, Razavi S M, Taghipour-Gorjikolaie M. View-Invariant and Robust Gait Recognition Using Gait Energy Images of Leg Region and Masking Altered Sections. IJEEE 2022; 18 (1) :2140-2140
URL: http://ijeee.iust.ac.ir/article-1-2140-en.html
View-Invariant and Robust Gait Recognition Using Gait Energy Images of Leg Region and Masking Altered Sections
A. Karizi , S. M. Razavi , M. Taghipour-Gorjikolaie
Abstract:   (2089 Views)
There are two serious issues regarding gait recognition. The first issue presents when the walking direction is unknown and the other one presents when the appearance of the user changes due to various reasons including carrying a bag or changing clothes. In this paper, a two-step view-invariant robust system is proposed to address these. In the first step, the walking direction is determined using five features of pixels of the leg region from gait energy image (GEI). In the second step, the GEI is decomposed into rectangular sections and the influence of changes in the appearance is confined to a small number of sections that could be eliminated by masking these sections. The system performs very well because the first step is computationally inexpensive and the second step preserves more useful information compared to other methods. In comparison with other methods, the proposed method shows better results.
Keywords: Biometrics , Gait Energy Image (GEI) , Gait Recognition , Principal Component Analysis (PCA) , Robust Recognition
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Type of Study: Research Paper | Subject: Image Processing
Received: 2021/04/10 | Revised: 2021/08/25 | Accepted: 2021/09/03
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.