Traffic Surveillance and Estimation Using Image Processing

Abstract

Due to the increase in the number of vehicles day by day, traffic congestions and traffic jams are very common. One method to overcome the traffic problem is to develop a method to estimate the traffic density which is based on using real time image processing techniques. The theme is to control the traffic by determining the traffic density on each side of the road. This project presents the algorithm to determine the number of vehicles on the road and to determine the number on the number plate of the vehicle. The density counting algorithm works by comparing the real time frame of live video by the reference image and by searching vehicles only in the region of interest (i.e., road area). The computed vehicle density can be compared with other direction of the traffic in order to control the traffic signal smartly.