摘要
本研究提出了一种车流量的统计算法,处理步骤包括:提取与更新道路背景图像、使用自适应阈值提取运动车辆、去除车辆阴影、区分不同车辆和利用车辆中心的连续匹配来确定车辆数目,该算法不受车道的限制,人为影响小,计数准确性高。实验结果表明,本算法能够适应道路背景的多种变化,实现车辆的准确计数。
An algorithm is developed for counting vehicles.The approach includes calculating and updating the background image correctly,extracting the vehicle regions with a self-adaptive threshold,removing the shadows,segmenting different vehicles, determining the vehicle number when the centers of vehicle regions are matched in several uninterrupted images.This algorithm is not affected by divided roadways,and it also can diminish the man-made mistakes.Experimental results demonstrate that the algorithm can count the vehicles accurately in an outdoor circumstance.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第6期236-239,共4页
Computer Engineering and Applications
关键词
连续图像处理
背景提取
阴影去除
流量检测
seriate images processing
background subtraction
shadow removal
flow measuring