Traffic Analysis Based On Image Processing

Harsha H. Sanap, P. A. Ghonge

Abstract: Traffic information is an important tool in the planning, maintenance and control of any modern transport system. The Image Processing algorithm has been applied to measure basic traffic parameters such as traffic volume, timer to green signal for each path to reduce traffic at the junction side. In this paper we apply edge-detection techniques to the key regions or windows. Also, background subtraction algorithm is a very important part of Intelligent Traffic System (ITS) applications for successful segmentation of objects from video sequence to control the Traffic at heavy traffic junction. Automatic Number plate Recognition (ANPR) is an application of Traffic Analysis which use mainly for security purpose which identifies the character directly from the image of license plate.

Keywords: Vehicle detection, Background Subtraction, Background Model, Segmentation