A Most-squares Solution for Separating Cars

This paper presents a method for finding the most-squares solution for separating cars, and intends to develop technologies to be able to separate cars from compact and standards based on images taken from the camera. Two major methods are used basically: 1. convex hulls algorithms to obtain car’s convex hull region and 2. classifying by separating cars into clusters regarding area and circumference of the regions obtained from car’s convex hull. Finally, a numerical example is presented.