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交通监视系统通过采集实时交通流量数据 ,为智能化交通运输服务和控制管理提供依据 ,在智能交通系统中有着极其重要的作用。在基于视频图像的交通监视系统中 ,由路边建筑、树木等物体引起的静态阴影和由运动物体如车辆引起的运动阴影 ,是导致车辆检测错误的一大主要因素。提出了一种基于路面标记的自动车辆检测算法 ,用于检测车辆并排除阴影干扰 ,进而实现对过往车辆进行正确计数 ,能更可靠地收集各车道的实时车流信息。
Traffic monitoring system can play a very important role in intelligent transportation system by collecting real-time traffic data to provide basis for intelligent transportation service and control management. In video-based traffic surveillance systems, static shadows caused by roadside buildings, trees and other objects and motion shadows caused by moving objects, such as vehicles, are one of the main factors that cause vehicle detection errors. An automatic vehicle detection algorithm based on pavement mark is proposed to detect vehicles and eliminate shadow interference, so as to count the passing vehicles correctly and collect the real-time traffic information of each lane more reliably.