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 |
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Universiti Putra Malaysia Press
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/51611/ http://psasir.upm.edu.my/id/eprint/51611/1/14%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0041-2016_pg181-190.pdf |
| _version_ | 1848851879561265152 |
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| author | Mohd Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Nor Nadirah Saripan, M. Iqbal |
| author_facet | Mohd Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Nor Nadirah Saripan, M. Iqbal |
| author_sort | Mohd Mustafah, Yasir |
| building | UPM Institutional 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 | 2025-11-15T10:29:12Z |
| format | Article |
| id | upm-51611 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:29:12Z |
| publishDate | 2017 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-516112017-03-30T10:47:51Z http://psasir.upm.edu.my/id/eprint/51611/ Intelligent surveillance system for street surveillance Mohd Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Nor Nadirah Saripan, M. Iqbal 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://psasir.upm.edu.my/id/eprint/51611/1/14%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0041-2016_pg181-190.pdf Mohd Mustafah, Yasir and Zainuddin, Nor Afiqah and Rashidan, Mohammad Ariff and Abdul Aziz, Nor Nadirah and Saripan, M. Iqbal (2017) Intelligent surveillance system for street surveillance. Pertanika Journal of Science & Technology, 25 (1). pp. 181-190. ISSN 0128-7680; ESSN: 2231-8526 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 | Mohd Mustafah, Yasir Zainuddin, Nor Afiqah Rashidan, Mohammad Ariff Abdul Aziz, Nor Nadirah 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 |
| url | http://psasir.upm.edu.my/id/eprint/51611/ http://psasir.upm.edu.my/id/eprint/51611/ http://psasir.upm.edu.my/id/eprint/51611/1/14%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0041-2016_pg181-190.pdf |