Smart video surveillance system for vehicle detection and traffic flow control

Traffic signal light can be optimized using vehicle flow statistics obtained by Smart Video Surveillance Software (SVSS). This research focuses on efficient traffic control system by detecting and counting the vehicle numbers at various times and locations. At present, one of the biggest problems in...

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Main Authors:	Shafie, Amir Akramin, Ali, Md. Hazrat, Hafiz, Fadhlan, M. Ali, Roslizar
Format:	Article
Language:	English
Published:	Taylor's University 2011
Subjects:	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Online Access:	http://irep.iium.edu.my/6620/ http://irep.iium.edu.my/6620/ http://irep.iium.edu.my/6620/1/Vol_6_4_469_480_SHAFIE.pdf

id	iium-6620
recordtype	eprints
spelling	iium-66202013-06-21T07:31:10Z http://irep.iium.edu.my/6620/ Smart video surveillance system for vehicle detection and traffic flow control Shafie, Amir Akramin Ali, Md. Hazrat Hafiz, Fadhlan M. Ali, Roslizar TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Traffic signal light can be optimized using vehicle flow statistics obtained by Smart Video Surveillance Software (SVSS). This research focuses on efficient traffic control system by detecting and counting the vehicle numbers at various times and locations. At present, one of the biggest problems in the main city in any country is the traffic jam during office hour and office break hour. Sometimes it can be seen that the traffic signal green light is still ON even though there is no vehicle coming. Similarly, it is also observed that long queues of vehicles are waiting even though the road is empty due to traffic signal light selection without proper investigation on vehicle flow. This can be handled by adjusting the vehicle passing time implementing by our developed SVSS. A number of experiment results of vehicle flows are discussed in this research graphically in order to test the feasibility of the developed system. Finally, adoptive background model is proposed in SVSS in order to successfully detect target objects such as motor bike, car, bus, etc. Taylor's University 2011-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/6620/1/Vol_6_4_469_480_SHAFIE.pdf Shafie, Amir Akramin and Ali, Md. Hazrat and Hafiz, Fadhlan and M. Ali, Roslizar (2011) Smart video surveillance system for vehicle detection and traffic flow control. Journal of Engineering Science and Technology, 6 (4). pp. 469-480. ISSN 18234690 http://jestec.taylors.edu.my/Vol%206%20Issue%204%20August%2011/Vol_6_4_469_480_SHAFIE.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
spellingShingle	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Shafie, Amir Akramin Ali, Md. Hazrat Hafiz, Fadhlan M. Ali, Roslizar Smart video surveillance system for vehicle detection and traffic flow control
description	Traffic signal light can be optimized using vehicle flow statistics obtained by Smart Video Surveillance Software (SVSS). This research focuses on efficient traffic control system by detecting and counting the vehicle numbers at various times and locations. At present, one of the biggest problems in the main city in any country is the traffic jam during office hour and office break hour. Sometimes it can be seen that the traffic signal green light is still ON even though there is no vehicle coming. Similarly, it is also observed that long queues of vehicles are waiting even though the road is empty due to traffic signal light selection without proper investigation on vehicle flow. This can be handled by adjusting the vehicle passing time implementing by our developed SVSS. A number of experiment results of vehicle flows are discussed in this research graphically in order to test the feasibility of the developed system. Finally, adoptive background model is proposed in SVSS in order to successfully detect target objects such as motor bike, car, bus, etc.
format	Article
author	Shafie, Amir Akramin Ali, Md. Hazrat Hafiz, Fadhlan M. Ali, Roslizar
author_facet	Shafie, Amir Akramin Ali, Md. Hazrat Hafiz, Fadhlan M. Ali, Roslizar
author_sort	Shafie, Amir Akramin
title	Smart video surveillance system for vehicle detection and traffic flow control
title_short	Smart video surveillance system for vehicle detection and traffic flow control
title_full	Smart video surveillance system for vehicle detection and traffic flow control
title_fullStr	Smart video surveillance system for vehicle detection and traffic flow control
title_full_unstemmed	Smart video surveillance system for vehicle detection and traffic flow control
title_sort	smart video surveillance system for vehicle detection and traffic flow control
publisher	Taylor's University
publishDate	2011
url	http://irep.iium.edu.my/6620/ http://irep.iium.edu.my/6620/ http://irep.iium.edu.my/6620/1/Vol_6_4_469_480_SHAFIE.pdf
first_indexed	2023-09-18T20:15:41Z
last_indexed	2023-09-18T20:15:41Z
_version_	1777407771219591168

Smart video surveillance system for vehicle detection and traffic flow control

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