Improved gait recognition based on gait energy images

Imad Rida; Somaya Almaadeed; Ahmed Bouridane

doi:10.1109/ICM.2014.7071801

Improved gait recognition based on gait energy images

Imad Rida, Somaya Almaadeed, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

14 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 26th International Conference on Microelectronics (ICM)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	40-43
ISBN (Print)	978-1-4799-8153-3
DOIs	https://doi.org/10.1109/ICM.2014.7071801
Publication status	Published - 2014
Externally published	Yes

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title = "Improved gait recognition based on gait energy images",

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author = "Imad Rida and Somaya Almaadeed and Ahmed Bouridane",

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AU - Rida, Imad

AU - Almaadeed, Somaya

AU - Bouridane, Ahmed

PY - 2014

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AB - 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.

U2 - 10.1109/ICM.2014.7071801

DO - 10.1109/ICM.2014.7071801

M3 - Chapter

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EP - 43

BT - 2014 26th International Conference on Microelectronics (ICM)

PB - IEEE

CY - Piscataway, NJ

ER -

Improved gait recognition based on gait energy images

Abstract

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