An Efficient Model to Count Objects in Motion by Trading Off the Area Threshold

The moving object counting system is an effort to boost the precision of counting the number of objects in a particular system. Object counting contributes to the quantitative analysis based on the estimation of particular elements. The issue with computer vision based technique are deciding the separation between the Background and Foreground, instructing the system that what actually image make up for a scene. We will discuss on separating the moving objects from the non moving objects. Increasing the efficiency of the system by getting a trade off value of the area of contours used to analyse the video.