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最简单的频间差分，读取avi，分别显示背景、前景和查分后的图像。XP、opencv2.4.3环境运行。-The frequency difference between the easiest to read avi, respectively, show the background, foreground and check points after images.
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采用高斯混合模型用于运动背景建模，可以检测出前景-Gaussian mixture model for motion background modeling, can detect the foreground
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Codebook model 视频抠像 xp sp3 + vs2005 + OpenCV 2.3.1-For a more detailed explanation of a “codebook” model refer to [reference: Gary Bradski and Adrian Kaehler: Learning
Opencv, September 2008: First Edition. p. 278].
During the application of the
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camshift算法跟踪-运行效果好.rar，是基于opencv的camshift算法，能提取背景、前景，实现对目标的跟踪，已调试能运行。-camshift algorithm track- good running effect rar, is based on the opencv camshift algorithm can extract the background, foreground, to achieve the goal of tracking, debugging can
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基于OPENCV的码本模型 可以把背景和前景区分 比较少见的资料 希望对大家有帮助-Can distinguish between background and foreground relatively rare OPENCV codebook based data model we want to help
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高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground detection
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背景平均方法来从视频文件提取的目标读，多帧叠加平均为背景，前景对象减法是，各种改变后-Background averaging method to extract goals video files to read, multi-frame superimposed averaged as a background, the foreground object subtraction was, after various changes
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前景检测，输入一个视频，经过若干帧的训练，可以检测出之后的帧的前景和背景。-Background Generation And Foreground Detection。
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主要是实现的分割算法，将前景色与背景色分割开来，效果一般，C++和opencv实现。-Mainly segmentation algorithm, and the foreground and background color separated, the general effect, C++ and opencv realization.
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Opencv中的一种运动检测方法，运用背景建模，可以快速识别运动物体在前景中显示出来-Opencv in one motion detection method using background modeling, you can quickly identify the moving object is displayed in the foreground
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实现实时视频的前后背景的分离，会用到openCV调用计算机的摄像头-used to divide the foreground and background of real-time video
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加载视频图像，进行前景和背景的提取，最后显示在三个窗口上-Loading video images to extract the foreground and background, and finally displayed on the three windows
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利用混合高斯进行背景建模，以此来提取前景-Use Gaussian mixture background modeling, in order to extract the foreground
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前景与背景分离，提取想要前景信息，并对前景去噪，分离三色通道。-Foreground and background separation, extract the information you want prospects, and prospects for de-noising, separated three color channels.
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基于混合高斯模型的背景减除法，用于分离前景和背景-Background subtraction method based on Gaussian mixture model for separating the foreground and background
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腐蚀是图像形态学的两个基本操作之一，另外一个是膨胀(Dilate)。二值图像上的腐蚀是腐蚀最典型的运用，但是腐蚀操作同样可以运用于灰度图像。二值图像腐蚀操作最基本的效果是腐蚀图像中前景色区域的边缘。使得前景图像区域变小，前景图像内部的背景区域被放大。-Corrosion is one of the two basic operation of the image morphology, and the other one is the expansion (Dilate). Corrosion
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使用opencv进行Crabcut图像分割，先定义分割矩形区域，然后完成前景与背景图像分离-Opencv for image segmentation using Crabcut, to define rectangular areas divided, and complete separation of foreground and background image
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单高斯模型视频背景前景提取，，内附源码、测试视频、测试结果等-Single Gaussian model background foreground extraction ,, enclosing video source, the video test, test results, etc.
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opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
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opencv 调用，视频前景目标分割，动目标提取，对静态视频背景进行分割，提取出运动目标。(Opencv call, video foreground target segmentation, moving object extraction, segmentation of static video background, extraction of moving objects.)
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