基于HSV颜色空间检测与Gabor筛选器的阴影检测

被引:4
作者
吴岳洲
熊运余
周磊
程鹏
机构
[1] 四川大学计算机学院图形图像研究所
关键词
阴影检测; HSV颜色空间; Gabor筛选器; 感兴趣区域(ROI);
D O I
10.16136/j.joel.2009.12.022
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
针对视频分析中难以完全将前景(FG)和运动阴影正确分离,提出一种基于阴影HSV颜色空间特性与Gabor筛选器的阴影分割方法。首先,采用一种基于复杂背景(BG)的运动目标检测方法提取出运动目标;其次,采用基于HSV颜色空间阴影特性初步判定阴影区域;最后,设计基于感兴趣区域(ROI,region of interest)的Gabor筛选器对初步判定后的阴影区域进行筛选,从而检测出阴影。对不同光照和环境条件下的视频序列进行测试结果表明,方法效果好,阴影检测率高,可应用于智能视频监控的目标检测。
引用
收藏
页码:1626 / 1630
页数:5
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