机器人2011，Vol.33Issue(5)：628-633,6.DOI:10.3724/SP.J.1218.2011.00628
结合区域颜色和纹理的运动阴影检测方法
Moving Cast Shadow Detection Based on Region Color and Texture
摘要
Abstract
In video tracing, due to the fact that moving shadows have some similar physical characteristics to moving objects, it is difficult for known object extracting methods to distinguish moving shadows from moving objects. To address this problem, an algorithm for detecting moving shadows based on the relationship between region color and the illumination information of the pixels is proposed. Therefore, the noise effect on the detecting structure when using one pixel as the smallest detecting unit can be efficiently reduced by the proposed algorithm. Meanwhile, the illumination invariance of local binary pattern (LBP) texture is used to detect shadow, after proven by the analysis on the physical model of moving shadows. According to the actual characteristics of video image, a method based on region color and texture is presented to detect moving shadows. Experiment results show that the proposed method is robust and efficient in shadow detection under different scenes.关键词
运动阴影/对象抽取/局部二值模式/阴影检测Key words
moving cast shadow/ object extraction/ local binary pattern/ shadow detection分类
信息技术与安全科学引用本文复制引用
曹健,陈红倩,张凯,牛长锋..结合区域颜色和纹理的运动阴影检测方法[J].机器人,2011,33(5):628-633,6.基金项目
国家自然科学基金资助项目(60903071) （60903071）
国家部委预研基金资助项目(11415133). （11415133）
