[1]王俊[],王文中[][],汤进[][]. 基于几何投影的运动阴影去除方法[J].计算机技术与发展,2015,25(12):37-40.
 WANG Jun[],WANG Wen-zhong[][],TANG Jin[][]. A Moving Shadow Removal Method Based on Geometric Projection[J].,2015,25(12):37-40.
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 基于几何投影的运动阴影去除方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年12期
页码:
37-40
栏目:
智能、算法、系统工程
出版日期:
2015-12-10

文章信息/Info

Title:
 A Moving Shadow Removal Method Based on Geometric Projection
文章编号:
1673-629X(2015)12-0037-04
作者:
 王俊[1]王文中[1][2] 汤进[1][2]
 1.安徽大学 计算机科学与技术学院;2.安徽省工业图像处理与分析重点实验室
Author(s):
 WANG Jun[1] WANG Wen-zhong[1][2]TANG Jin[1][2]
关键词:
 运动目标检测图像主方向几何投影阴影去除
Keywords:
 moving object detectionprincipal image directiongeometric projectionshadow removal
分类号:
TP391.4
文献标志码:
A
摘要:
 由于在使用图像差分法检测运动目标时,运动目标阴影会被当成运动目标而检测出,因此文中针对固定场景的运动目标阴影问题,提出了一种简单有效的基于几何投影的阴影去除方法. 首先,根据图像灭点理论,通过场景先验知识计算场景图像的主方向. 其次,结合帧差法和背景差法检测运动前景,把前景像素点在场景图像主方向的垂线方向上进行几何投影. 根据目标轮廓和阴影轮廓的主方向与场景图像主方向的可区分特性,通过阈值化投影值则可分割出目标区域和阴影区域,进而去除阴影区域. 最后,考虑到光照、目标自身大小、目标运动方向以及运动目标速度等因素对阴影的影响,文中在不同条件的视频上进行了实验,通过与原图对比和实验间相互对比验证了文中算法的有效性.
Abstract:
 As the image difference method were used to detect moving targets,moving targets shadow was detected as a motion target,so for the shadow problem of moving object detection under the fixed scene,proposed a simple and effective shadow removal approach based on geometric projection. Firstly,the principal image direction of the scene is computed by utilizing the vanishing point theory and scene prior knowledge. Secondly,combined the frames subtraction with the background subtraction,detect the foreground pixels and geometri-cally project them on the direction that is vertical to the computed principal direction. According to the fact that the principal directions of the target and shadow contours are distinguishable with the principal image direction of the scene,segment the shadow regions from the detected foreground pixels and remove it by thresholding the projection values. Finally,considering the influence of the light,their own size of targets,the direction of the target moving and moving target speed and other factors on the shadow,make the experiment on some videos with different conditions,and demonstrate the effectiveness of the proposed approach.

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更新日期/Last Update: 2016-01-28