一种新的夜间交通流量检测方法  

A new method of traffic flow detection at night

作　　者：马永杰[1] 李鹏飞[1] 王彬[1] 

机构地区：[1]西北师范大学物理与电子工程学院,甘肃兰州730070

出　　处：《西北师范大学学报（自然科学版）》2015年第3期43-48,88,共7页Journal of Northwest Normal University(Natural Science)

基　　金：甘肃省自然科学基金资助项目(096RJZA115);甘肃省教育厅科研项目(0901B-08)

摘　　要：针对夜间交通监控面临的亮度不足、能见度不佳与光线反射干扰等,造成视频车辆检测器不能全天候准确检测的问题,提出一种基于车灯亮度、颜色、形状、位置、纹理等运动信息的夜间车辆检测系统.先找出可能为车灯的亮点,然后再判断属于同一车的可能性,并进行车灯配对,最后针对路面上碰触虚拟检测线的一对亮点进行计数.实验结果表明,本方法的平均准确率在96%以上,具有检测率高、鲁棒性强的特点,能够满足城市道路及高速公路的实时检测需求.Aiming at the problem of the video vehicle detector in the night traffic monitoring that cannot accurately detect all‐weather which caused by short of the brightness , poor visibility and light reflection interference . A kind of nighttime vehicle detection system based on light brightness , color , shape , location , texture movement information is proposed . Firstly , to identify possible light spot , and judge the possibility of belonging to the same car , and then do the light matching , finally count the pair of light spots touching the virtual detection line on the road . The experiment results show that the accuracy of this method in nighttime vehicle detection is above 96% , and this method is with the characteristics of high detection rate , strong robustness , and can meet the demand of real‐time detection of city road and highway .

关 键 词：车流量检测 夜间交通监控 运动信息 车灯侦测配对 高检测率 

分 类 号：TN911.73[电子电信—通信与信息系统]