Image processing applied to real time measurement of traffic flow

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%.