Title :
Image processing applied to real time measurement of traffic flow
Author :
Soto, Alvaro ; Cipriano, Aldo
Author_Institution :
Dept. of Electr. Eng., Catholic Univ. of Chile, Santiago, Chile
fDate :
31 Mar-2 Apr 1996
Abstract :
This paper describes a computer vision system for the real time measurement of traffic flow. The traffic images are captured by a video camera and digitized into a computer. The measuring algorithms are based on edges detection and comparison between a calculated reference without vehicles and the current image of traffic lanes. Tests under real traffic conditions were satisfactory, with over 90% of accuracy and error below 5%
Keywords :
computer vision; computerised monitoring; edge detection; monitoring; real-time systems; road traffic; traffic control; traffic engineering computing; computer vision; edge detection; image processing; real time systems; road traffic control; traffic flow measurement; traffic monitoring; video camera; Cameras; Computer vision; Current measurement; Fluid flow measurement; Image edge detection; Image processing; Real time systems; Testing; Vehicle detection; Vehicles;
Conference_Titel :
System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
Conference_Location :
Baton Rouge, LA
Print_ISBN :
0-8186-7352-4
DOI :
10.1109/SSST.1996.493520
