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Traffic Parameters Of Visual Real-time Detection And Identification

Posted on:2006-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:G Q ZhangFull Text:PDF
GTID:2192360155466951Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The more and more traffic give us convenience, but give us series of questions at the same time, especially traffic jam. The most efficient way to solve traffic jam is to develop Intelligent Traffic System (ITS), and traffic parameter detecting is an important subject in ITS.This paper describes the development of ITS, and especially analyses the technology of video image detection and its applications in traffic parameter detection. Contrasted with some other ways on traffic parameter detection. This method has obvious advantages.Traffic parameters' detection is an important step in Intelligent Traffic System. In this paper, we studied and presented traffic parameter detection arithmetic based on background auto-update, and described the key technology which is very important in image get, image progress and detection arithmetic. In the end, we give the ways how to get the parameter about traffic flow, traffic speed, running red-light on the basis of above descriptions. The main contents of the study include such aspects as follows: 1) Moving detection arithmetic based virtual detection line is presented by analyzing and comparing current traffic parameter detection ways.2) Virtual detection line's setting principal and the proportional relation between real distance and pixel distance is introduced.3) Background auto-update's arithmetic and flow is presented on the basis of image- Differencing.4) On the basis of moving detection, the detection arithmetic of flow and speed is introduced by the chart. The arithmetic can deduce the error greatly. The experiment results showed that the correct rates of vehicle count and vehicle speed detection are high and the real-time performance is satisfactory.In this paper, the peccancy of running red-light and yellow-linecovering is studied and some corresponding algorithms are brought. We can find the peccancy and snap its picture by the algorithms. According to this information, traffic management departments can make correct decisions on punishing those drivers who have broken the traffic rules.The hardware buildup and software buildup of this system is presented in detail. The hardware system introduces camera, image capture card and the system's construction. The software system introduces the image pre-processing in the virtual trap-line and the detection arithmetic of moving image.
Keywords/Search Tags:Intelligent Transportation System, Computer Vision, Frames Differencing, Image Processing, Vehicle Flow Detection, Vehicle Speed Detection, Running Red-light
PDF Full Text Request
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