Improved gait recognition based on gait energy images
Author | Rida I. |
Author | Al-Maadeed, Somaya. |
Author | Bouridane A. |
Available date | 2022-05-19T10:23:14Z |
Publication Date | 2014 |
Publication Name | Proceedings of the International Conference on Microelectronics, ICM |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1109/ICM.2014.7071801 |
Abstract | The performance of gait recognition systems are usually affected by clothing, carrying conditions, and other intraclass variations which are also referred to as covariates. This paper proposes a supervised feature selection method which is able to select relevant features for human recognition to mitigate the impact of covariates and hence improve the recognition performance. The proposed method is evaluated using CASIA Gait Database (Dataset B) and the experimental results suggest that our method yields attractive results when compared to similar ones. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Gait analysis Microelectronics Covariates Feature selection methods Gait database Gait energy images Gait recognition Human recognition Intra-class variation Relevant features Pattern recognition |
Type | Conference Paper |
Pagination | 40-43 |
Volume Number | 2015-March |
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Computer Science & Engineering [2284 items ]