Abstract:

In order to solve the problems of real\|time vehicle tracking and separation in the traffic test system, using digital image processing method, a moving vehicles detection algorithm based on transportation videos is proposed. For the obtained traffic test information, the research focuses on the background subtraction algorithm to extract moving vehicles. A method of adaptive background updating algorithm with smaller amount of calculation is proposed and a nonmodel-based approach working in HSV(Hue, Saturation, Valve) space is used to detect vehicle shadow. Through setting the proper threshold parame
ters, we can remove vehicle shadow and remove disturbances of pedestrian, bicycle and motorcycle vehicle at the same time. After the shadow detect
ion, some suitable morphological methods are used for post processing. Based on large number tests of real traffic environment video and images, the proposed method is proved to be effective for moving vehicles detection.

Key words: vehicle detection, background subtraction, background updating, vehicle shadow