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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Main Authors: Kamru Zaman, Fadhlan H., Shafie, Amir A., Khalifa, Othman Omran
Format: Book Chapter
Language:English
Published: IIUM Press 2011
Subjects:
Online Access:http://irep.iium.edu.my/21653/
http://irep.iium.edu.my/21653/
http://irep.iium.edu.my/21653/1/Chapter_20.pdf
id iium-21653
recordtype eprints
spelling 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
repository_type 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
spellingShingle 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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