一种基于阴影检测的运动目标分割改进算法  

An improved Algorithm for Moving Target Segmentation Based on Shadow Detection

作　　者：王伟 郭中华 兰旭婷 WANGWei;GUO Zhonghua;LAN Xuting(School of Physics and Electrical Engineering,Ningxia University,Yinchuan 750021,China;Ningxia Key Laboratory of Intelligent Sensing for Desert Information,Yinchuan 750021,China)

机构地区：[1]宁夏大学物理与电子电气工程学院,宁夏银川750021 [2]宁夏沙漠信息智能感知重点实验室,宁夏银川750021

出　　处：《计算机与网络》2021年第9期67-71,共5页Computer & Network

基　　金：宁夏自然科学基金项目(2020AAC03026);宁夏大学研究生创新研究项目(GIP2020075)。

摘　　要：讨论了用于背景减除法的常见颜色模型,针对低饱和度下色度值不稳定的问题,提出一种基于色度、亮度和饱和度空间(IHLS)的改进算法。该方法运用具有饱和度的三维极坐标系统表示颜色的能力,采用饱和度加权色度统计来色度-饱和度关系进行建模,而该饱和度与亮度函数无关。通过CDW2014公开数据集的实验,与基于RGB和HSV的方法进行了比较,分割结果的客观评价指标与主观视觉验证了该改进算法更适合于鲁棒性背景建模和阴影抑制,表明了该方法的有效性。The common color models used for background subtraction are discussed. Aiming at the problem of unstable chromaticity values under low saturation, an improved algorithm based on chromaticity, brightness and saturation space(IHLS) is proposed. The algorithm utilizes the capability of representing colors of a three-dimensional polar coordinate system with saturation, and adopts the saturation-weighted chromaticity statistics to model the chroma-saturation relationship, and the saturation has nothing to do with the brightness function. Through the CDW2014 public data set experiment, compared with the method based on RGB and HSV, the objective evaluation index of the segmentation result and subjective vision verify that the improved algorithm is more suitable for robust background modeling and shadow suppression, and has availability.

关 键 词：运动分割 阴影检测 背景扣除 色彩空间 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]