Intruder detection in camera networks using the one-class neighbor machine

We propose a new algorithm based on machine learning techniques for automatic intruder detection in surveillance networks. The algorithm is theoretically founded on the concept of minimum volume sets. Through application to real images from an example, simple closed-circuit television system and com...

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Main Authors:	Ahmed, Tarem Ozair, Wei, Xianglin, Ahmed, Supriyo, Pathan, Al-Sakib Khan
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/1417/1/Paper_3_NAEC-tarem.pdf http://irep.iium.edu.my/1417/ http://www.atsma.org/Conferences/NAEC2011/index.html
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Institution:	Universiti Islam Antarabangsa Malaysia
Language:	English

id	my.iium.irep.1417
record_format	dspace
spelling	my.iium.irep.14172011-08-25T06:19:22Z http://irep.iium.edu.my/1417/ Intruder detection in camera networks using the one-class neighbor machine Ahmed, Tarem Ozair Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan Q Science (General) We propose a new algorithm based on machine learning techniques for automatic intruder detection in surveillance networks. The algorithm is theoretically founded on the concept of minimum volume sets. Through application to real images from an example, simple closed-circuit television system and comparison with some existing algorithms, we show that it is possible to easily obtain high detection accuracy with low false alarm rates. 2011 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/1417/1/Paper_3_NAEC-tarem.pdf Ahmed, Tarem Ozair and Wei, Xianglin and Ahmed, Supriyo and Pathan, Al-Sakib Khan (2011) Intruder detection in camera networks using the one-class neighbor machine. In: Networking and Electronic Commerce Research Conference 2011 (NAEC 2011), October 13-16, 2011, Riva del Garda, Italy. (In Press) http://www.atsma.org/Conferences/NAEC2011/index.html
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Ahmed, Tarem Ozair Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan Intruder detection in camera networks using the one-class neighbor machine
description	We propose a new algorithm based on machine learning techniques for automatic intruder detection in surveillance networks. The algorithm is theoretically founded on the concept of minimum volume sets. Through application to real images from an example, simple closed-circuit television system and comparison with some existing algorithms, we show that it is possible to easily obtain high detection accuracy with low false alarm rates.
format	Conference or Workshop Item
author	Ahmed, Tarem Ozair Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan
author_facet	Ahmed, Tarem Ozair Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan
author_sort	Ahmed, Tarem Ozair
title	Intruder detection in camera networks using the one-class neighbor machine
title_short	Intruder detection in camera networks using the one-class neighbor machine
title_full	Intruder detection in camera networks using the one-class neighbor machine
title_fullStr	Intruder detection in camera networks using the one-class neighbor machine
title_full_unstemmed	Intruder detection in camera networks using the one-class neighbor machine
title_sort	intruder detection in camera networks using the one-class neighbor machine
publishDate	2011
url	http://irep.iium.edu.my/1417/1/Paper_3_NAEC-tarem.pdf http://irep.iium.edu.my/1417/ http://www.atsma.org/Conferences/NAEC2011/index.html
_version_	1643604785802248192

Intruder detection in camera networks using the one-class neighbor machine

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