ANALYSIS AND INSPECTION OF ROAD TRAFFIC USING IMAGE-PROCESSING

A methodology using image processing to detect vehicles on highways is presented in this paper. Vehicle detection is done in two stages. In stage one, the dimensional and morphological study of the analyzed hig hway is carried out in order to model and calibrate the vision system. In stage two, vehicles are detected owing to the method of matching c lear and dark blobs. These are extracted by mathematical morphology te chniques and bright headlight images by using pattern recognition tech niques. The position of the vehicle allows access to spatial-temporal information which characterize traffic flow and permit automatic traff ic control.