Video Vehicle Tracking And Traffic Incidents Detection

In order to solve various problems caused by the rapid growing of surface traffic, the research of Intelligent Transportation System comes to an issue of consequence. As an important part of ITS, vehicle tracking and traffic incidents detection becomes a research focus all over the world. According to the key techniques of ITS, some algorithms and techniques for vehicle tracking and traffic incidents detection have been analyzed and improved. Several methods based on vehicle tracking, which are used to detect traffic incidents such as converse and over-speed, have been described in detail in this thesis. What's more, a vehicle tracking and traffic incidents detection system has been designed for application. The main ideas of this thesis can be described as follow: 1) The first chapter simply introduces the research background of intelligent transportation system, especially techniques in the field of vehicle tracking and traffic incidents detection. 2) For vehicle detection, an algorithm using nonparametric kernel estimation has been analyzed and improved to build the background model and to detect moving objects by background subtraction. By means of measuring the flatness degree of the result of image division,shadows have been eliminated. Therefore, a measurement algorithm which features individual vehicle tracking using rectangular model has been developed to solve problems caused by vehicles overlapping. 3) For vehicle tracking,a method using region matching has been improved and realized. Another algorithm, which is based on improved snake model, has been analyzed and developed to segment moving vehicles and track them. Furthermore, choosing reasonable energy function and parameters has been discussed. 4) Several methods are provided to solve some classical problems about traffic incidents detection such as converse and over-speed. Especially, methods of vehicle speed detection and camera calibration have been analyzed and described in detail. 5) A video vehicle tracking and traffic incidents detection system has been analyzed and structured and main modules of this system are discussed. Design and implementation of this system are described in this chapter. To sum up, according to some difficult points in video vehicle tracking and traffic incidents detection system,some algorithms and methods are proposed, improved to solve those problems. The results of our experiments show that the methods and algorithms proposed in this thesis are adaptable and effective.