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MOVING OBJECT DETECTION SYSTEM BASED ON BACKGROUND LEARNING

机译:基于背景学习的运动目标检测系统

摘要

Provided is a moving object detection system based on background learning. According to an embodiment of the present invention, the moving object detection system based on background learning for detecting a moving object in pixel data includes: a background generating unit configured to obtain a Gaussian parameter from an input pixel and generate a background through background learning; and an object detecting unit configured to check whether the Gaussian of the input pixel satisfies a specific background classifying condition and classify the input pixel as the object or the background.;COPYRIGHT KIPO 2016
机译:提供一种基于背景学习的运动物体检测系统。根据本发明的实施例,基于背景学习的运动对象检测系统用于检测像素数据中的运动对象,包括:背景生成单元,被配置为从输入像素获得高斯参数并通过背景学习生成背景;以及COPYRIGHT KIPO 2016;对象检测单元,用于检查输入像素的高斯是否满足特定的背景分类条件,并将输入像素分类为对象还是背景。

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