1Guilan University, Guilan Science and Technology Park
3Islamic Azad University, Science & Research Branch
Vehicle counting provides appropriate information about traffic flow, vehicle crash occurrences and traffic peak times in roadways. An acceptable technique to achieve this goals is using digital image processing methods on roadway camera video outputs. This paper presents a vehicle counter-classifier based on a combination of image processing methods. This method includes object detection, edge detection, frame differentiation and the Kalman filter. An implementation of proposed technique has been performed using C++ programming language. The method performance for accuracy in vehicle counts and classify was evaluated, which resulted in about 95 percent accuracy for classification and about 4 percent error in vehicle detection targets.