Intelligent surveillance system for street surveillance

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	5107/48248
Uncontrolled Keywords:	Adaptive background modelling, distributed cameras tracking, object detection, object classification, intelligent surveillance
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Yasir Mohd Mustafah
Date Deposited:	03 Jul 2017 10:20
Last Modified:	03 Jul 2017 10:20
URI:	http://irep.iium.edu.my/id/eprint/48248

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