Algorithm for Vehicle Detection using Image Processing

Abstract

Detection of Vehicles is a very important part of ITS (Intelligent Transport System). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. In this paper we propose an algorithm using image and video processing. Image processing is the analysis and manipulation of a digitized image, especially in order to improve its quality. This algorithm can detect vehicles from an image in a more precise manner even with varying levels of brightness. First, images are taken of the road in different traffic conditions. These images are processed in a suitable color model which can create a clear differentiation between the vehicle and the road. Next, this image is further processed into a binary image which retains a certain amount of noise. Noise removal techniques are used on the image and the final image is generated. In the final image the vehicles can be clearly identified from the road. This entire process can be translated to be used for video processing also.