Traffic Information Collection System Based Video 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 detecting, 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 detecting and tracking, which are used to detect traffic incidents such as over-speed, have been described in detail in this thesis. What's more, Yantai Traffic Monitor System has been put up with as a successful case. 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 traffic information collection.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 visual-loop detection. A new mechanism based on short-term model and long-term model has been put up with to make the algorithm more reliable.3) For vehicle tracking, a method using region matching has been improved and realized. We can track the vehicles by locating the area, expanding, eroding and get the area of vehicles.