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...

Full description

Bibliographic Details
Main Authors:	Mohd. Mustafah, Yasir, Zainuddin, Nor Afiqah, Rashidan, Mohammad Ariff, Abdul Aziz, Noraini N., Saripan, M. Iqbal
Format:	Article
Language:	English English English
Published:	Universiti Putra Malaysia Press 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	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

id	iium-48248
recordtype	eprints
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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	TK Electrical engineering. Electronics Nuclear engineering
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
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.
format	Article
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
title	Intelligent surveillance system for street surveillance
title_short	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_sort	intelligent surveillance system for street surveillance
publisher	Universiti Putra Malaysia Press
publishDate	2017
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
first_indexed	2023-09-18T21:08:29Z
last_indexed	2023-09-18T21:08:29Z
_version_	1777411093002452992

Intelligent surveillance system for street surveillance

Similar Items