Real-time human detection for video surveillance

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

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Abstract

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

Item Type:	Book Chapter
Additional Information:	4119/21653
Uncontrolled Keywords:	Real-time human detection, video surveillance
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	04 Sep 2012 16:51
Last Modified:	19 Nov 2020 10:39
URI:	http://irep.iium.edu.my/id/eprint/21653

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