[1]刘 清,秦秀丽,文松柏,等.YUV颜色空间和图论切割的阴影去除算法[J].智能系统学报,2010,5(6):556-560.
LIU Qing,QIN Xiu-li,WEN Song-bai,et al.The algorithm of shadowelimination based on YUV color space and graph theory[J].CAAI Transactions on Intelligent Systems,2010,5(6):556-560.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
5
期数:
2010年第6期
页码:
556-560
栏目:
学术论文—机器感知与模式识别
出版日期:
2010-12-25
- Title:
-
The algorithm of shadowelimination based on YUV color space and graph theory
- 文章编号:
-
1673-4785(2010)06-0556-05
- 作者:
-
刘 清,秦秀丽,文松柏,郭建明
-
武汉理工大学 自动化学院,湖北 武汉 430063
- Author(s):
-
LIU Qing, QIN Xiu-li, WEN Song-bai, GUO Jian-ming
-
School of Automation, Wuhan University of Technology, Wuhan 430063, China
-
- 关键词:
-
前景分割; 阴影去除; YUV颜色空间; 图切割
- Keywords:
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foreground segmentation; shadow elimination; YUV color space; graphtheory
- 分类号:
-
TP391.41
- 文献标志码:
-
A
- 摘要:
-
针对智能视频监控系统中阴影常由于其自身的属性而被错误地检测成前景目标的问题,提出了一种YUV颜色空间和图切割算法相结合检测阴影的新方法.首先,在获取的前景运动区域中综合考虑YUV颜色空间的亮度和色度信息来检测阴影区域并融合形态学滤波等操作得到确定的阴影和目标种子点,然后进一步通过图切割算法获得阴影与目标的优化分割,以提高阴影区域的检测精度.实验证明,该方法能有效地检测并去除视频监控场景中运动物体所携带的阴影.
- Abstract:
-
In intelligent video surveillance systems, the moving cast shadows are often mistaken as the object due to its own properties. Consequently, a YUV color spacebased theory and a graphtheorybased shadow detection method were proposed to improve the quality of detection. First, the precise seeds of the foreground and shadow were obtained by the YUV color space based on the comprehensive consideration of luminance and chrominance information and morphological filtering. Then the maximum flow minimum cut graph theory algorithm was employed to obtain the optimized segmentation of the shadow and target. Experimental results show that the proposed method can detect and eliminate the cast shadow effectively.
备注/Memo
收稿日期:2010-03-05.
基金项目:湖北省自然科学基金资助项目(2009CDB403).
通信作者:刘 清.E-mail:qliu2000@163.com.
作者简介:
刘 清,??? 女,1966年生,教授,博士生导师,中国人工智能学会理事,湖北省自动化学会常务理事.主要研究方向为智能控制技术、智能移动机器人、智能视频监控、计算机实时控制和信息系统集成.
?秦秀丽,女,1984年生,硕士研究生,主要研究方向为计算机图像处理、视频分析.
郭建明,男,1962年生,副教授,主要研究方向为智能控制技术、计算机实时控制与信息系统集成、智能视频分析.
更新日期/Last Update:
2011-03-03