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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1417/ http://irep.iium.edu.my/1417/1/Paper_3_NAEC-tarem.pdf |
| _version_ | 1848775853658341376 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:20:48Z |
| format | Proceeding Paper |
| id | iium-1417 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:20:48Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-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 Proceeding Paper PeerReviewed 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 |
| 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 |
| title | 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_short | Intruder detection in camera networks using the one-class neighbor machine |
| title_sort | intruder detection in camera networks using the one-class neighbor machine |
| topic | Q Science (General) |
| url | http://irep.iium.edu.my/1417/ http://irep.iium.edu.my/1417/ http://irep.iium.edu.my/1417/1/Paper_3_NAEC-tarem.pdf |