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Event-Handling Based Smart Video Surveillance System
Md.Hazrat Ali, Fadhlan Hafiz, A.A Shafie, Othman Khalifa
Pages - 24 - 34     |    Revised - 25-03-2010     |    Published - 31-03-2010
Volume - 4   Issue - 1    |    Publication Date - March 2010  Table of Contents
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KEYWORDS
Object detection, Visual surveillance, Object classification, Smart network
ABSTRACT
a broad range of applications. Moving object classification in the field of video surveillance is a key component of smart surveillance software. In this paper, we have proposed reliable software with its large features for people, vehicle and object classification which works well in challenging real-world constraints, including the presence of shadows, low resolution imagery, occlusion, perspective distortions, arbitrary camera viewpoints, and groups of people. We have discussed a generic model of smart video surveillance systems that can meet requirements of strong commercial applications and also shown the implication of the software for the security purposes which made the whole system as a smart network. Smart surveillance systems use automatic image understanding techniques to extract information from the surveillance data.
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7 L. Chen et al, “An Integrated System for Moving Object Classification in Surveillance Videos” IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.2008.
8 W. Wolf, B. Ozer, and T. Lv, “Smart Cameras as Embedded Systems”, IEEE Computer Science Journal , 35(9):48–53, Sep 2002.
9 Fadhlan Hafiz et.al, “Human Detection For Real-Time Video Surveillance”, In Proceedings of International Conference on Engineering Technology 2010, Kuala Lumpur, Malaysia, 2009
10 Tian, Y.l. Hampapur, “A Robust Salient Motion Detection with Complex Background for Real- Time Video Surveillance”, In: IEEE Computer Society Workshop on Motion and Video Computing, Breckenridge, Colorado, January 5 and 6, 2005
Mr. Md.Hazrat Ali
IIUM - Malaysia
hazratalidu07@yahoo.com
Dr. Fadhlan Hafiz
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Dr. A.A Shafie
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Othman Khalifa
- Malaysia