TRAFFIC OBSTRUCTION HANDLING WITH IMAGE PROCESSING

Vehicle monitoring in the surroundings with occlusion and clutter is active research area. Vehicle tracking poses lot of challenges. These include tracking the vehicle's path, along with variations in the lighting. We propose series of images from which we can identify the occlusion in the vehicle. Framework that we use tracks with sequence of images. These images can be used to analyses a pattern with which the vehicle loses track from surveillance of the CCTV. Getting track of CCTV footage when vehicle gets occluded is important issue faced by officials. When vehicles occlude each other in long lines, the vehicles can go out of the surveillance radar. Roadway curves and probabilities can be a solution for this.