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
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Abstract
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.
Item Type: | Article (Journal) |
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Additional Information: | 5119/6620 |
Uncontrolled Keywords: | Vehicle detection, Motion detection, Traffic density estimation,Traffic signal control |
Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Mechatronics Engineering |
Depositing User: | Dr Amir Shafie |
Date Deposited: | 23 Nov 2011 22:35 |
Last Modified: | 21 Jun 2013 15:31 |
URI: | http://irep.iium.edu.my/id/eprint/6620 |
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