TRACKING AND COUNTING THE VEHICLES IN NIGHT SCENES
S Kanagamalliga, S. Vasuki, A. Kanimozhidevi, S. Priyadharshni, S. Rajeswari · Zenodo (CERN European Organization for Nuclear Research) · 2014
The main objective of traffic surveillance system is to reduce the risk caused by accident. Many papers published were concerned only about the vehicle detection during daytime. But we proposed a method to detect the vehicle during night time. The main objective of our paper is to count the vehicles in night time traffic scenes. It consists of three phases, they are vehicle’s headlight segmentation, tracking and pairing. We know that in night time, only visible thing will be the headlight of the vehicle therefore we are counting the vehicle based on the headlight information. Initially the headlights of a vehicle is segmented based on the analysis of headlight size, location and area. Then tracked via a tracking procedure designed to detect vehicle and then headlights are paired using the connected component labeling. Based on the pairing result we can count the vehicles. Here we are using fuzzy hybrid information inference mechanism for error compensation. Here by using fuzzy logic we can generate the rules based on the size, color and position. In particular we are generating the rules based on the distance between the headlights of a vehicle.Thereby we can improve the accuracy while counting the vehicle.