The method is better than others . firstly , the system sets up several models to assist detection work , such as road model , illumination model , shadow model and relationship model among them ; secondly , it introduces hue . saturation degree information to distinguish vehicles from shadow ; thirdly , it makes use of binary decision tree to analyze pressing line of vehicles to improve the reliability of the system ; fourthly , it puts forward a way of one dimension video tracing to resolve the problem of vehicle velocity detection 該方法通過設(shè)置在每條車道中的兩條相互垂直的虛擬檢測(cè)線來檢測(cè)交通流信息(如車流量、車速等) ;設(shè)計(jì)一種彩色分段檢測(cè)技術(shù)來提取運(yùn)動(dòng)車輛的尺寸信息和色彩信息,再利用分類決策樹和濾波算法確定運(yùn)動(dòng)車輛存在與否,增強(qiáng)了車輛、陰影、噪聲和背景之間的區(qū)分能力;設(shè)計(jì)了一種車速視頻檢測(cè)方法。