一种汽车跟踪系统中的阴影去除算法  

A Shadow Removal Algorithm in Vehicle Tracking System

作　　者：田魁[1] 管庶安[1] 曹柯[1] 

机构地区：[1]武汉轻工大学数学与计算机学院,武汉430023

出　　处：《武汉理工大学学报（交通科学与工程版）》2015年第3期637-640,共4页Journal of Wuhan University of Technology（Transportation Science & Engineering）

摘　　要：在基于视频的汽车跟踪系统中,运动汽车产生的阴影会导致无法对运动汽车进行准确跟踪,传统阴影去除算法通常具有一定的局限性和复杂性,无法直接应用于汽车跟踪系统.针对这一问题,提出一种基于梯度投影和小波变换的阴影去除算法.先对含有阴影的目标区域求梯度,将梯度值向水平方向投影,然后用较大尺度的Marr小波检测出投影曲线中的屋顶状曲线段的有效区间,最后在有效区间内,用较小尺度的Gauss小波检测出投影曲线的最大正峰值点和最大负峰值点,由2峰值点的位置即可确定车宽.实验表明,该算法简单快速,能有效去除运动汽车的阴影.The shadow by moving vehicle will lead inaccurate tracking in the video - based vehicle tracking system .Traditional shadow removal algorithm is with certain limitation and complexity ,and can not be applied to vehicle tracking system directly .In view of such limitation ,a shadow removal al‐gorithm based on gradient projection and Wavelet T ransform is raised .It firstly calculates the gradient value of target area with shadow ,then projects the gradient value horizontally ,and finally detects val‐id interval in the roof curve of projection curve by Marr wavelet .At last ,in the effective range ,the maximum positive peak and maximum negative peak of projective curve will be detected by Gauss wavelet ,and the vehicle width can be fixed by the position of two peak points .Experiment shows that such algorithm is proved to be simple and rapid ,and can efficiently remove the shadow of moving ve‐hicle .

关 键 词：智能交通 汽车跟踪 阴影去除 梯度投影 小波检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]