Intelligent surveillance system for street surveillance
CCTV surveillance systems are widely used as a street monitoring tool in public and private areas. This paper presents a novel approach of an intelligent surveillance system that consists of adaptive background modelling, optimal trade-off features tracking and detected moving objects classification...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English English |
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Universiti Putra Malaysia Press
2017
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| Online Access: | http://irep.iium.edu.my/48248/ http://irep.iium.edu.my/48248/1/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance.pdf http://irep.iium.edu.my/48248/2/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance_SCOPUS.pdf http://irep.iium.edu.my/48248/3/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance_WOS.pdf |
| _version_ | 1848783268504141824 |
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| author | Mohd. Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Noraini N. Saripan, M. Iqbal |
| author_facet | Mohd. Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Noraini N. Saripan, M. Iqbal |
| author_sort | Mohd. Mustafah, Yasir |
| building | IIUM Repository |
| collection | Online Access |
| description | CCTV surveillance systems are widely used as a street monitoring tool in public and private areas. This paper presents a novel approach of an intelligent surveillance system that consists of adaptive background modelling, optimal trade-off features tracking and detected moving objects classification. The proposed system is designed to work in real-time. Experimental results show that the proposed background modelling algorithms are able to reconstruct the background correctly and handle illumination and adverse weather that modifies the background. For the tracking algorithm, the effectiveness between colour, edge and texture features for target and candidate blobs were analysed. Finally, it is also demonstrated that the proposed object classification algorithm performs well with different classes of moving objects such as, cars, motorcycles and pedestrians. |
| first_indexed | 2025-11-14T16:18:39Z |
| format | Article |
| id | iium-48248 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English English |
| last_indexed | 2025-11-14T16:18:39Z |
| publishDate | 2017 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-482482017-07-03T02:20:37Z http://irep.iium.edu.my/48248/ Intelligent surveillance system for street surveillance Mohd. Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Noraini N. Saripan, M. Iqbal TK Electrical engineering. Electronics Nuclear engineering CCTV surveillance systems are widely used as a street monitoring tool in public and private areas. This paper presents a novel approach of an intelligent surveillance system that consists of adaptive background modelling, optimal trade-off features tracking and detected moving objects classification. The proposed system is designed to work in real-time. Experimental results show that the proposed background modelling algorithms are able to reconstruct the background correctly and handle illumination and adverse weather that modifies the background. For the tracking algorithm, the effectiveness between colour, edge and texture features for target and candidate blobs were analysed. Finally, it is also demonstrated that the proposed object classification algorithm performs well with different classes of moving objects such as, cars, motorcycles and pedestrians. Universiti Putra Malaysia Press 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/48248/1/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance.pdf application/pdf en http://irep.iium.edu.my/48248/2/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/48248/3/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance_WOS.pdf Mohd. Mustafah, Yasir and Zainuddin, Nor Afiqah and Rashidan, Mohammad Ariff and Abdul Aziz, Noraini N. and Saripan, M. Iqbal (2017) Intelligent surveillance system for street surveillance. Pertanika Journal of Science and Technology, 25 (1). pp. 181-190. ISSN 0128-7702 E-ISSN 2231-8534 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(1)%20Jan.%202017/14%20JST%20Vol%2025%20(1)%20Jan%20%202017_0041-2016_pg181-190.pdf |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohd. Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Noraini N. Saripan, M. Iqbal Intelligent surveillance system for street surveillance |
| title | Intelligent surveillance system for street surveillance |
| title_full | Intelligent surveillance system for street surveillance |
| title_fullStr | Intelligent surveillance system for street surveillance |
| title_full_unstemmed | Intelligent surveillance system for street surveillance |
| title_short | Intelligent surveillance system for street surveillance |
| title_sort | intelligent surveillance system for street surveillance |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://irep.iium.edu.my/48248/ http://irep.iium.edu.my/48248/ http://irep.iium.edu.my/48248/1/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance.pdf http://irep.iium.edu.my/48248/2/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance_SCOPUS.pdf http://irep.iium.edu.my/48248/3/48248_Intelligent%20surveillance%20system%20for%20street%20surveillance_WOS.pdf |