Title :
A new approach to multiple vehicle tracking in intersections using harris corners and adaptive background subtraction
Author :
Bragatto, Ticiano A C ; Ruas, Gabriel I S ; Benso, Victor A P ; Lamar, Marcus V. ; Aldigueri, Daniel ; Teixeira, George L. ; Yamashita, Yaeko
Author_Institution :
CEFTRU, Univ. of Brasilia, Brasilia
Abstract :
This work presents a new methodology based on video processing for recording and counting vehicles in intersections and urban roads, allowing the control and management of urban traffic and support to inspection of public road security in large cities. The aim of this work is to show the viability of computer vision techniques for the construction of a portable equipment able to perform urban vehicles flow counting and classification into routes in an automatic way and in real time. Image processing techniques, such as background subtraction, definition and tracking of object features are used in the prototype development and implementation. The obtained results show the viability of use of the proposed portable monitoring system in real-time, achieving correct rates in the vehicle counting of about 96% for simple roads and 72% at complex intersections.
Keywords :
object detection; road traffic; road vehicles; tracking; traffic information systems; video signal processing; adaptive background subtraction; computer vision techniques; image processing techniques; multiple vehicle tracking; portable equipment; public road security; urban roads; urban traffic control; urban traffic management; urban vehicles classification; urban vehicles flow counting; video processing; Cameras; Cities and towns; Computer vision; Computerized monitoring; Control systems; Intelligent vehicles; Layout; Road vehicles; Tracking; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2008.4621293