Analysis and inspection of road traffic using image processing Original Research Article

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 highway is carried out in order to model and calibrate the vision system. In stage two, vehicles are detected owing to the method of matching clear and dark blobs. These are extracted by mathematical morphology techniques and bright headlight images by using pattern recognition techniques. The position of the vehicle allows access to spatial-temporal information which characterize traffic flow and permit automatic traffic control.