Human gait recognition and classification using similarity index for various conditions

Makhdoomi, Nahid A. and Gunawan, Teddy Surya and Habaebi, Mohamed Hadi (2013) Human gait recognition and classification using similarity index for various conditions. In: 5th International Conference on Mechatronics (ICOM'13), 2 – 4 July 2013, Kuala Lumpur, Malaysia.

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Abstract

Gait recognition is usually referred to signify the human identification by the style/way people walk in image sequences. Our aim 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. However in this case, the work devises a novel method for the purpose of similarity computation rather than the traditional recognition where the overall recognition rate of 78.57 percent was obtained.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6727/31944
Uncontrolled Keywords:	Gait recognition
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:	30 Sep 2013 09:59
Last Modified:	01 Nov 2013 08:59
URI:	http://irep.iium.edu.my/id/eprint/31944

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