Development Of Video Traffic Flow Information Detection Systembased On Digital Images Processing Technology

Traffic control is most important to all of us. Traffic flow information detection affects the realization of ITS. We can say traffic flow information detection is the key step of realizing intelligent transportation system , no matter what advanced transportation systems all must base on traffic flow information reliable collection. Because of wide scope of information detection, few charge and lower cost, easily be installed and debug, the video detection technology is recognized, although there are many detection methods presently.Based on the domestic & overseas technology and the understanding of the hardware and algorithm of the image system, the thesis gives a economical video detection system design, adopting video capture equipments & IPC & application software, which is provided with many merits such as easy installation, small project , wide scope of information supply and so on. By video camera and video capture card, the video image are digitized to digital image which could be processed by computer. After gray-degree transformation, filtering & eliminating noise and image enhancement, this thesis presents a method of vehicle flux and vehicle speed detection base on virtual detector. The method judges whether vehicles exist through detecting the variety of pixels gray-degree in detected areas, as a result, educing transportation information such as vehicle flux, vehicle speed and so on.