Watershed Segmentation for Vehicle Classification and Counting

A robust video based system for the traffic surveillance system on the highway for vehicle detection, vehicle classification and counting for effective traffic analysis using only a single standard camera. The key goal of the proposed work is to successfully detect, track, classify and count the vehicle in partial occlusion and connected together by shadow on the highways. Marker-controlled watershed segmentation method is initially used for the extraction of the foreground regions from the highway scène. For tracking Gabor filter is applied which is used to measure vehicle path in video sequences. For effective vehicle classification support vector machine is utilized. An experiment result shows the considerable performance of watershed segmentation in vehicle detection in the occluded and connected together by shadow in the highways environment.