Improvised approach using background subtraction for vehicle detection

In advanced intelligent transport systems, detection of the vehicles has become very popular in the traffic area and also to identify the density of the vehicles in that particular area. As per the survey background subtraction is identified as one of the best approaches in identifying the vehicles for static camera. An improvised background subtraction model is adopted, wherein it works for real time tracking and also solves the problems of shadow detection. In background subtraction each pixel is updated with update equations. A component labeling technique is introduced after background subtraction to label the different objects so as to bifurcate between the two objects and each region is labelled with the different label values. Detections of the moving vehicles are identified and the density of vehicles travelling in the sight of the camera is determined.