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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图像阴影去除 Image shadow removal
Hence, shadow removal has become a necessary part in traffic surveillance system.
因此，阴影去除已经成为了交通视频监控系统中不可或缺的一部分。
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Secondly, in the foundation of analyzing deficiency, we mainly study vehicles segmentation, shadow elimination and parameter measure and so on.
然后在总结和分析现有技术不足之处的基础上,重点研究了运动车辆检测与分割、车辆阴影去除、交通参数测量等方面的内容。
参考来源 - 基于视频的车辆检测The removal of shadow: after the abstraction of vehicle, commonly there are some concomitant shadows in the object image. It will affect the location of vehicles, the measuring of information and the tracking of objects.
目标阴影去除：运动车辆提取后一般都有不同程度的阴影出现在前景图像中，对目标物体的正确定位、测量和跟踪都有很大影响。
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·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
An approach of removing thick cloud and cloud shadow in remote sensing image based on support vector machine is suggested.
研究并综述了PID神经元网络及其在图像处理中的应用，如图像去噪、图像复原、阴影去除等。
This paper studies and describes PID neural network and its application in image processing, such as im - age noise reducing, image restoration and image shadow removal.
交通检测与信息采集已经成为智能交通系统中的一项重要课题，车辆的检测、阴影去除、车辆识别与跟踪则是其中最基础的部分。
Traffic detection and information collection has become an important subject in ITS, and vehicle detection, shadow elimination, vehicle recognition and tracking are the basic parts.
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