SMART VIDEO SURVEILLANCE SYSTEM FOR VEHICLE DETECTION AND TRAFFIC FLOW CONTROL

Journal of Engineering Science and Technology. 2011;6(4):469-480

 

Journal Homepage

Journal Title: Journal of Engineering Science and Technology

ISSN: 1823-4690 (Print)

Publisher: Taylor's University

LCC Subject Category: Technology: Engineering (General). Civil engineering (General) | Technology: Technology (General)

Country of publisher: Malaysia

Language of fulltext: English

Full-text formats available: PDF

 

AUTHORS

A. A. SHAFIE
M. H. ALI
FADHLAN HAFIZ
ROSLIZAR M. ALI

EDITORIAL INFORMATION

Double blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 12 weeks

 

Abstract | Full Text

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.