摘要
本文提出了一种基于计算机视觉和图像处理的车流量检测方法 ,通过分析 CCD TV摄像机获取的图像中车辆和场景信息来有效地检测交通参数 .本方法可以完成双向四车道高速公路和城市道路的车辆计数和车辆速度检测 .实验结果表明 :车辆计数的正确率为 94% ,车辆速度检测的正确率达 92 % ,并具有满意的实时特性 .
This paper presents a method for vehicle speed detection based on computer vision and image processing. It can effectively detect vehicle speed by analyzing vehicle and scene information extracted from images. It merely needs two CCD TV cameras to complete road traffic parameter detection in a bi directional and four lane highway or an urban road. The experimental results show that the correct rates of vehicle count and vehicle speed detection are respectively 94% and 92%, and real time performance is satisfactory.
出处
《信息与控制》
CSCD
北大核心
2001年第3期257-261,共5页
Information and Control
基金
湖北省重点科学技术发展计划项目! 991PO111资助
关键词
计算机视觉
图像处理
交通参数检测
交通流
交通管理
vehicle count, vehicle speed detection, computer vision, Image processing, symbol analyzing
