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 condit...
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| Format: | Conference or Workshop Item |
| Language: | English English English |
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2013
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| Online Access: | http://irep.iium.edu.my/31944/ http://irep.iium.edu.my/31944/1/2138.pdf http://irep.iium.edu.my/31944/4/image002.png http://irep.iium.edu.my/31944/5/icomabstracts.pdf |
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iium-31944 |
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eprints |
| spelling |
iium-319442013-11-01T00:59:41Z http://irep.iium.edu.my/31944/ 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. 2013-07-02 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/31944/1/2138.pdf application/pdf en http://irep.iium.edu.my/31944/4/image002.png application/pdf en http://irep.iium.edu.my/31944/5/icomabstracts.pdf 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. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English English |
| topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| spellingShingle |
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 |
Conference or Workshop Item |
| 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 |
| publishDate |
2013 |
| url |
http://irep.iium.edu.my/31944/ http://irep.iium.edu.my/31944/1/2138.pdf http://irep.iium.edu.my/31944/4/image002.png http://irep.iium.edu.my/31944/5/icomabstracts.pdf |
| first_indexed |
2023-09-18T20:46:05Z |
| last_indexed |
2023-09-18T20:46:05Z |
| _version_ |
1777409683981598720 |