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Gait recognition and effect of noise on the recognition rate

Makhdoomi, Nahid A. and Gunawan, Teddy Surya and Habaebi, Mohamed Hadi (2013) Gait recognition and effect of noise on the recognition rate. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 26-27 Nov 2013, Kuala Lumpur Malaysia.

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Gait is defined to be the coordinated, cyclic combination of movements that result in human locomotion. Gait recognition refers to identify a human by the style/way, a person walks in image sequences. The objective of this paper is to implement the traditional gait recognition algorithm and to show the variation in gait recognition when subject is observed parallel to camera under three conditions- walking normal, carrying a bag and wearing a coat. In this work, we are devising a novel method for the purpose of similarity computation rather than the traditional recognition where 78.57% of overall recognition rate was obtained. Furthermore, noise is introduced to evaluate its effect on the recognition rate. Keywords—Human gait, biometrics, human identification, gait databases, silhouettes.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5588/33184
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication. Including telegraphy, radio, radar, television
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr. Mohamed Hadi Habaebi
Date Deposited: 09 Dec 2013 16:28
Last Modified: 09 Dec 2013 16:28
URI: http://irep.iium.edu.my/id/eprint/33184

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