Design And Implementation Of Intelligent Traffic Peccancy Monitoring System By Video Detection

In this paper, we introduce the design and development of a new intelligent traffic peccancy monitoring system by video detection (ITPVMS), which adopts software mode based on detecting dynamic traffic video stream. This system could carry out efficient real-time monitoring on quiet a few sorts of traffic peccancies, with merits of high precision, more functions and high automatization . Comparing with the current traffic monitoring techniques, it's a great improvement. Our research is also one of the most important parts of the project "Research on Visual Data-processing Platform of Regional Traffic Controlling", which is funded by Police Ministry of China.Firstly, a proper scheme is successfully advanced to collect real-time digital traffic video stream automatically, which is based on the cooperation of video-collecting card and vidicon equipped with color CCD camera with high differentiation ratio.Secondly, with a view of real-time and precision of the system, some rapid and efficient algorithms are designed to make image preprocessing on video images. The first step is to eliminate all kinds of noises generated in the process of collecting traffic video by means of median filter; Then we finish image sharpening with Laplace operator to clarify edges of the video images; finally, image contrast is enhanced with the help of the second-developing packet SDK-2000, which is provided by our video-collecting card. This way, much more satisfactory images are obtained, and preparation is already made for the following work, that's image analyse.Thirdly, according to the characteristics of our system, mobile objects are distinguished by means of image difference. Then some features such as regional area, length and width of traffic objects are selected and extracted. After processing of scale filter, we successfully recognize those moving vehicles appearing in the monitoring regions.Fourthly, some corresponding algorithms are brought forward to automatically identify those familiar traffic peccancies of many sorts, such as red light violation, yellow-line covering, parking in prohibited spots, over-speed running and converse running. Then we find means to snap pictures and to intercept videos of the spot, and collect a lot of relevant information such as the time, the block, the running direction and the weather conditions and so on. According to this information, our traffic management departments could make correct decisions on punishing those drivers who have broken the traffic rules.Considering the complexity of traffic environments on particular blocks, in order to monitor other traffic peccancies effectively, we also have designed the scheme to carry out traffic monitoring by manual.