Human gait recognition and classification using similarity index for various conditions
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 condition...
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iium-339732015-04-28T01:26:50Z http://irep.iium.edu.my/33973/ Human gait recognition and classification using similarity index for various conditions Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi TK5101 Telecommunication. Including telegraphy, radio, radar, television 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. IOP Publishing 2013-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/33973/1/1757-899X_53_1_012069.pdf Makhdoomi, Nahid A. and Gunawan, Teddy Surya and Habaebi, Mohamed Hadi (2013) Human gait recognition and classification using similarity index for various conditions. IOP Conference Series: Materials Science and Engineering, 53 (Conf.1). 012069-1. ISSN 1757-8981 http://iopscience.iop.org/1757-899X/53/1/012069 10.1088/1757-899X/53/1/012069 |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi Human gait recognition and classification using similarity index for various conditions |
description |
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. |
format |
Article |
author |
Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi |
author_facet |
Makhdoomi, Nahid A. Gunawan, Teddy Surya Habaebi, Mohamed Hadi |
author_sort |
Makhdoomi, Nahid A. |
title |
Human gait recognition and classification using similarity index for various conditions |
title_short |
Human gait recognition and classification using similarity index for various conditions |
title_full |
Human gait recognition and classification using similarity index for various conditions |
title_fullStr |
Human gait recognition and classification using similarity index for various conditions |
title_full_unstemmed |
Human gait recognition and classification using similarity index for various conditions |
title_sort |
human gait recognition and classification using similarity index for various conditions |
publisher |
IOP Publishing |
publishDate |
2013 |
url |
http://irep.iium.edu.my/33973/ http://irep.iium.edu.my/33973/ http://irep.iium.edu.my/33973/ http://irep.iium.edu.my/33973/1/1757-899X_53_1_012069.pdf |
first_indexed |
2023-09-18T20:49:02Z |
last_indexed |
2023-09-18T20:49:02Z |
_version_ |
1777409869980106752 |