智能交通黄网格违章车辆监测

Intelligent Detection of Peccancy Vehicles in the Yellow Grid Region

针对智能交通的广泛应用与需求,提出了一种黄网格区域违章车辆智能监测算法.首先通过连续帧差法生成不含任何车辆信息的静态背景,然后结合差分图像分割算法和二值数学形态学算法来提取车辆目标,最后通过监测车辆并判断其在黄网格区域滞留时间来判断该车是否违章.监测系统采用多摄像头远近景协同拍摄的方法,保存车辆违章的视频片断并提取车牌信息,最终结果作为交警处罚违章车辆的依据.本文提出的黄网格区域违章监测算法具有一定的实际应用价值,在智能交通管理中得到一定的应用.

For the wide application and demand of intelligent traflqc monitoring, this paper puts forward an algorithm to detect the peeeaney vehicle in the yellow grid region. First, this paper uses the difference among continuous frames to generate the static background without any information of vehicles. And then, by combining the difference image segmentation algorithm and the mathematical morphology algorithm to extract the vehicles are exacted. At last, through judging how long the vehicles stay in the yellow grid region the vehicles of peccancy are detected. The monitoring system uses three cameras to obtain the far and near scenes at the same time to record the video and license plate of the vehicle of peccancy for future punishment. This paper introduces the algorithm of peccancy vehicle detection in the yellow grid region with practical application value, and it can be widely applied in the traffic management with low cost.