Contents I. Introduction
All public managements throughout the world are worryingly involved in the reorganization of trustworthy solutions for traffic control. Their main objective is the development of speed violation encounter system, that provides traffic flow control. As traffic intensity is more, it is necessary to improve the traffic control and its management system. Heavy automobile usage has been increasing the traffic and thus resulting in upsurge of road accidents. System designed for vehicle tracking and speed detection plays dynamic role in limiting the speed. Such systems are helpful in providing significant information regarding traffic control. Most of the road accidents happened due to over speed hence, many researches are going to detect speed of vehicles. The image-processing field is widely used for traffic management system. It has much application like classification of vehicle, number plate detection, automated toll system; vehicle counting, tracking and mainly speed measurement. Automatic tracking of vehicle can be the basis for many interesting applications. Moreover, there is a prerequisite to create an intelligent traffic surveillance system with real-time moving vehicle detection, speed estimation. In this technology, we are comparing the adjacent frames, which are giving us background modeling. After background modeling, foreground detection and then vehicle tracking achieved. Vehicle tracking gives distance Covered by that vehicle and done by centroid tracking method, which also helps for speed calculation. Centroid tracking algorithm is the most trustworthy approach in video tracking.
