计算机工程与应用2017，Vol.53Issue(22)：1-7,7.DOI:10.3778/j.issn.1002-8331.1707-0487
融合色彩比和梯度不变性的运动阴影检测
Moving shadow detection based on color ratio and texture invariance
摘要
Abstract
To solve the disturbances caused by moving shadows in accurate segmentation of moving object, a moving shadow detection algorithm based on color ratio and texture invariance is proposed. The algorithm analyzes the illumina-tion invariance of the pixel color ratio and region texture gradient, and uses brightness change characteristics and color constancy to detect shadow pixels preliminarily in moving object region in pixel level. Then it utilizes texture gradient invariance to eliminate mistakenly identified shadow region at the regional level. The combination of the two types of fea-tures can make up for the defect of poor performance of shadow detection method based on a single feature or single type characteristics, and improve the detection and resolution ratio of moving shadow. The proposed algorithm can distinguish moving shadows and objects under different scenes.关键词
运动阴影检测/色彩比不变性/梯度不变性/色彩张量Key words
moving shadow detection/color ratio invariance/texture invariance/color tensor分类
信息技术与安全科学引用本文复制引用
廖娟,朱德泉,李勃,刘路,陈启美..融合色彩比和梯度不变性的运动阴影检测[J].计算机工程与应用,2017,53(22):1-7,7.基金项目
国家自然科学基金(No.61502226) （No.61502226）
安徽省自然科学基金(No.1708085QF148) （No.1708085QF148）
安徽农业大学稳定与引进人才项目(No. yj2017-38) （No. yj2017-38）
校青年基金项目(No.2016ZR008). （No.2016ZR008）
