Detection Of Illegal Vehicle Parking In Yellow Grid Region Based On Video

According to the demand of Tianjin Traffic Bureau, in intelligent traffic frame, this article designed a system used for detection of illegal vehicle parking in yellow grid region.Industrial computer and cameras fixed on the road and the software based on VC compose the whole system. The software consists of video processing, background obtaining and updating, vehicle recognizing, shadow moving, vehicle tracking, illegal parking recording. Firstly, we collect the image sequence by DaHeng card. Then we get the background using the Improved Surendra Arithmetic. Based on this, we get the moving part of the image using Difference Method. Continuously, we get the vehicle after using the EWTC arithmetic based on gray image. We judge if the vehicle illegally parks in the yellow grid region, if so, we reserve a video and several images for the police as proof of illegal parking.EWTC arithmetic is the key point of the academic part. Shadow moving is a difficult subject, for it does not use the information of color which is very useful. However, the amount of computation is decreased. Many gray characters considered, firstly, this article use clustering in edge image to get the pre shadow region Y and then use statistical method to get the pre vehicle region C. As a result, Y-C is the shadow region we desire.The innovative points of this article are: Arithmetic for illegal parking detection in yellow grid region, Improved Surendra Arithmetic, EWTC arithmetic and the idea of multiple use of one time wavelet transform.