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Intelligent surveillance system for street surveillance


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


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.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Universiti Putra Malaysia Press
Keywords: Adaptive background modelling; Distributed cameras tracking; Object detection; Object classification; Intelligent surveillance
Depositing User: Nabilah Mustapa
Date Deposited: 30 Mar 2017 10:27
Last Modified: 30 Mar 2017 10:47
URI: http://psasir.upm.edu.my/id/eprint/51611
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