Real-time human detection for video surveillance
Recent research in computer vision has increasingly focused on building systems for observing humans and understanding their appearance, movements, and activities, providing advanced interfaces for interacting with humans, and creating realistic models of humans for various purposes (Ogale, 2006)....
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Online Access: | http://irep.iium.edu.my/21653/ http://irep.iium.edu.my/21653/ http://irep.iium.edu.my/21653/1/Chapter_20.pdf |
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iium-216532012-09-04T08:51:53Z http://irep.iium.edu.my/21653/ Real-time human detection for video surveillance Kamru Zaman, Fadhlan H. Shafie, Amir A. Khalifa, Othman Omran TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Recent research in computer vision has increasingly focused on building systems for observing humans and understanding their appearance, movements, and activities, providing advanced interfaces for interacting with humans, and creating realistic models of humans for various purposes (Ogale, 2006). For the last decades, video analysis and understanding has been one of the main active fields in computer vision and image analysis where applications relying on this field are various, like video surveillance, object tracking and traffic monitoring. (Allili et aI, 2007). The ability of computer vision to recognize human from the image and works similar to human eye has made computer vision to be used widely in various applications especially in video analysis IIUM Press 2011 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/21653/1/Chapter_20.pdf Kamru Zaman, Fadhlan H. and Shafie, Amir A. and Khalifa, Othman Omran (2011) Real-time human detection for video surveillance. In: Human Behaviour Recognition, Identification and Computer Interaction. IIUM Press, Kuala Lumpur, pp. 163-177. ISBN 978-967-418-156-7 http://rms.research.iium.edu.my/bookstore/default.aspx |
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Digital Repository |
institution_category |
Local University |
institution |
International Islamic University Malaysia |
building |
IIUM Repository |
collection |
Online Access |
language |
English |
topic |
TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
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TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Kamru Zaman, Fadhlan H. Shafie, Amir A. Khalifa, Othman Omran Real-time human detection for video surveillance |
description |
Recent research in computer vision has increasingly focused on building systems for observing humans and understanding their appearance, movements, and activities, providing
advanced interfaces for interacting with humans, and creating realistic models of humans for various purposes (Ogale, 2006). For the last decades, video analysis and understanding has been one of the main active fields in computer vision and image analysis where applications
relying on this field are various, like video surveillance, object tracking and traffic monitoring. (Allili et aI, 2007). The ability of computer vision to recognize human from the image and works similar to human eye has made computer vision to be used widely in various applications especially in video analysis |
format |
Book Chapter |
author |
Kamru Zaman, Fadhlan H. Shafie, Amir A. Khalifa, Othman Omran |
author_facet |
Kamru Zaman, Fadhlan H. Shafie, Amir A. Khalifa, Othman Omran |
author_sort |
Kamru Zaman, Fadhlan H. |
title |
Real-time human detection for video surveillance |
title_short |
Real-time human detection for video surveillance |
title_full |
Real-time human detection for video surveillance |
title_fullStr |
Real-time human detection for video surveillance |
title_full_unstemmed |
Real-time human detection for video surveillance |
title_sort |
real-time human detection for video surveillance |
publisher |
IIUM Press |
publishDate |
2011 |
url |
http://irep.iium.edu.my/21653/ http://irep.iium.edu.my/21653/ http://irep.iium.edu.my/21653/1/Chapter_20.pdf |
first_indexed |
2023-09-18T20:32:59Z |
last_indexed |
2023-09-18T20:32:59Z |
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1777408859562835968 |