Key words： moving objects detection； single-Gaussian background model； shadow removing [gap=128]关键词：运动目标检测；单高斯背景模型；阴影去除
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shadow detection and removing 阴影检测与消除
The abstraction of vehicle features: the vehicle features abstraction after shadow removing is the premise of feature matching.
目标特征提取：对阴影去除后的车辆目标进行特征抽取，是进行特征匹配完成车辆监控的前提。
参考来源 - 交通视频监控系统中运动目标特征提取与数据传输实时性保证的研究This thesis focuses on the background modeling and moving object detection, and lays strong emphasis on Gaussian Mixture Model (GMM) and shadow removing.
本文对复杂场景的背景建模与运动目标检测进行了较为深入的研究,并着重研究了高斯混合模型与运动目标检测中的阴影消除问题。
参考来源 - 基于高斯混合模型的运动目标检测算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
To solve the first problem, a spatially weighted LBP histogram is proposed to be the feature vector and a shadow removing method is introduced.
为了解决第一个问题，本文提出用空间加权的LBP直方图作为特征并引入了阴影消除算法。
Shadow is one of the features in remote sensing image. It affects image matching, change detection or information extraction. But removing that is usually very hard in image processing.
阴影是遥感影像的基本特征之一，它将干扰图像匹配、图象变化检测或图像中信息的提取，而去除阴影则是遥感图像处理的难题。
An approach of removing thick cloud and cloud shadow in remote sensing image based on support vector machine is suggested.
提出一种基于支持向量机的遥感影像厚云及云阴影去除方法。
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