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利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background
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基于opencv的背景差法，实现前景和背景的分离。需要先配置好vc2008，然后编译执行。-Opencv background difference based method to achieve the separation of foreground and background. Need to configured vc2008, and then compile the implementation.
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(背景差分)调用opencv函数，事先把背景图像存储下来，然后将前景图像与背景图像作差-call opencv function, first storage down the background image , and then the foreground image and background image for the poor
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背景提取
前后背景分离
opencv
vc-sub background and foreground
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将背景与前景从视频中分割开 并将前景进行多边形或凸包处理-Background and foreground separated from the video and The foreground polygon or convex hull
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运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
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【原创】自已写的采用自适应背景差法分割前景图像的程序，中间使用了LBP背景消除方法和区域生长算法，经验证效果相当好。-[original]Segmentation of the foreground image using adaptive background subtraction . In the program, LBP background elimination method and region growing algorithms is used.
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该程序实现了图片前景和后景的转换，以及平面转换、颜色转换。-The program to achieve a conversion of the picture foreground and background, as well as flat-screen conversion, color conversion.
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利用平均背景去除法在食品中进行前景的提取，然后用蓝色标记前景-Using the average background removal in food foreground extraction and then the blue marker prospects
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高斯混合模型实现视频图像的背景和前景的分离。输入为视频文件或者计算机上的摄像头。-Gaussian mixture model the background and foreground of the video image separation. The input video files or computer camera.
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高斯背景建模，用于分离视频图像的前景色和背景色-Gaussian background modeling, foreground and background colors for separation of video images
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通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background
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基于高斯的前景检测，用于从背景中将前景物体分离出来。-Based on Gaussian prospects detection, for foreground objects from the background will be separated.
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基于OpenCV2.4.4+Visual Studio2008下的多目标跟踪代码。基于帧间差分法判断视频的背景和前景。-OpenCV2.4.4+ Visual Studio2008-based multi-target tracking code. Based on inter-frame difference method to determine the background and foreground of the video.
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混合高斯模型在运动检测中的应用，检测视频中的运动物体，做出其背景图像和前景图像-Gaussian mixture model in motion detection to detect moving objects in the video to make the background image and the foreground image
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初始化 统计背景模型，用背景差法提取前景图像，并使得背景不断刷新-First initialized, statistical background model, background difference to extract foreground and background model constantly refreshed
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平均背景法是一种学习背景场景和分割前景目标的简单方法。这种方法只能用于背景场景中不包含运动部分。而且，这种方法还要求光线保持不变，比如室内静止场景。-Average background method is a simple way to split the background and foreground objects scene study. This method can only be used for background scene does not contain moving
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bgslibrary是一个开源前景背景分割库，包含了一些最新前背景分割算法。(Bgslibrary is an open source Foreground Background Segmentation library, which contains some latest background segmentation algorithms.)
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21.【高斯处理视频并跟踪运动做前景背景分割】bgfg2(21. [Gauss processing video and tracking movement, foreground background segmentation] bgfg2)
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动态目标追踪和前景背景提取，使用Python和opencv编程(Dynamic object tracking and foreground background extraction, using Python and opencv programming)
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