Automated intruder detection from image sequences using minimum volume sets
We propose a new algorithm based on machine learning techniques for automatic intruder detection in visual surveillance networks. The proposed algorithm is theoretically founded on the concept of Minimum Volume Sets. Through application to image sequences from two different scenarios and compariso...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Kohat University of Science and Technology (KUST), Pakistan
2012
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| Online Access: | http://irep.iium.edu.my/22265/ http://irep.iium.edu.my/22265/4/88-453-1-PB.pdf |
| _version_ | 1848778982793674752 |
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| author | Ahmed, Tarem Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan |
| author_facet | Ahmed, Tarem Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan |
| author_sort | Ahmed, Tarem |
| building | IIUM Repository |
| collection | Online Access |
| description | We propose a new algorithm based on machine learning techniques for automatic intruder detection in visual surveillance networks. The proposed algorithm is theoretically founded on the concept of Minimum Volume Sets. Through application to image sequences from two different scenarios and comparison with existing algorithms, we show that it is possible for our proposed algorithm to easily obtain high detection accuracy with low false alarm rates. |
| first_indexed | 2025-11-14T15:10:32Z |
| format | Article |
| id | iium-22265 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:10:32Z |
| publishDate | 2012 |
| publisher | Kohat University of Science and Technology (KUST), Pakistan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-222652012-06-15T03:09:09Z http://irep.iium.edu.my/22265/ Automated intruder detection from image sequences using minimum volume sets Ahmed, Tarem Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan QA75 Electronic computers. Computer science QA76 Computer software We propose a new algorithm based on machine learning techniques for automatic intruder detection in visual surveillance networks. The proposed algorithm is theoretically founded on the concept of Minimum Volume Sets. Through application to image sequences from two different scenarios and comparison with existing algorithms, we show that it is possible for our proposed algorithm to easily obtain high detection accuracy with low false alarm rates. Kohat University of Science and Technology (KUST), Pakistan 2012-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/22265/4/88-453-1-PB.pdf Ahmed, Tarem and Wei, Xianglin and Ahmed, Supriyo and Pathan, Al-Sakib Khan (2012) Automated intruder detection from image sequences using minimum volume sets. International Journal of Communication Networks and Information Security, 4 (1). pp. 11-17. ISSN 2073-607X (O), 2076-0930 (P) http://www.ijcnis.org/index.php/ijcnis/article/view/88 |
| spellingShingle | QA75 Electronic computers. Computer science QA76 Computer software Ahmed, Tarem Wei, Xianglin Ahmed, Supriyo Pathan, Al-Sakib Khan Automated intruder detection from image sequences using minimum volume sets |
| title | Automated intruder detection from image sequences using minimum volume sets |
| title_full | Automated intruder detection from image sequences using minimum volume sets |
| title_fullStr | Automated intruder detection from image sequences using minimum volume sets |
| title_full_unstemmed | Automated intruder detection from image sequences using minimum volume sets |
| title_short | Automated intruder detection from image sequences using minimum volume sets |
| title_sort | automated intruder detection from image sequences using minimum volume sets |
| topic | QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://irep.iium.edu.my/22265/ http://irep.iium.edu.my/22265/ http://irep.iium.edu.my/22265/4/88-453-1-PB.pdf |