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通过对序列图像进行混合高斯建模，分离背景和前景目标。-Gaussian mixture modeling of image sequences, separation of background and foreground objects.
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视频处理中让视频的前景和背景分离的matlab程序-Video processing--to realize the separation of foreground and background in a given video sequence
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he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/
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图像中对前景对象和背景对象进行标注区别，再应用分水岭算法会取得较好的分割效果。-The image on the foreground object and the background objects marked difference, then apply the watershed algorithm to achieve better segmentation results.
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基于高斯核密度函数的运动目标检测程序。参考文章是background and foreground Modeling Using kernel density Estimation for visual surveilence-This programe used in moving object detection, the programe refer to article background and foreground Modeling Using kernel density Est
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使用Opencv实现的混合高斯背景建模，能够对图像的前景和背景进行分割。-Gaussian mixture background modeling using Opencv achieved, it is possible to image segmentation of the foreground and background.
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可以用于对有病斑的图像进行病斑提取,可以自行切换需要前景还是后景-Can be used to have a lesion lesion image extraction can switch needs its own background or foreground
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A binary image is a digital image that has only two possible values for each pixel. Typically, the two colors used for a binary image are black and white, though any two colors can be used. The color used for the object(s) in the image is the foregro
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本文以室内、外不同空间的人数统计为背景，研究基于图像的人员计数技术，对某时段内进出摄像机视野中指定区域的人数，或指定区域内在景人数进行统计。主要研究内容有以下几点：
（1）人员计数方案论证：本文分析对比了不同人员计数算法，研究分析了基于像素、 基于Hough变换的人员计数算法的优缺点。
（2）基于像素统计的人员计数系统实现：①分别采用近似中值背景模型和高斯混合背景模型提取前景图像；②采用基于HSV颜色空间变换的方法对前景中的阴影进行抑制；③用前景像素数除以人数得到一个人的像素平均值，
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本程序是基于支持向量机的图像分割问题。通过支持向量机对图片的采样点进行训练，然后对整张图片进行预测。可以将图片分为前景与背景两个部分。-This procedure is based on the support vector machine image segmentation problem. Through the support vector machine to the picture of the sampling point for training, and then the w
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My implementation of Stauffer & Grimson's GMM(Background subtraction
Drawbacks of Stauffer & Grimson's GMM
Since its pixel based model fitting,
a) lots of unwanted small blobs are scattered all over the frame. e.g. UCSD demo
b) main blobs
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图像提取动态前景目标，背景差分法和侦差法(Image extraction, dynamic foreground target, background difference method and reconnaissance difference method)
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帧间差分法 MATLAB 图像前景图片提取(Background Modeling and Foreground Detection for Maritime Video Surveillance)
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在静态背景下，提取运动物体(前景检测）并对其标号(In the static background, the moving object (foreground detection) is extracted and its label is extracted)
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Otsu最大类间方差法原理,利用阈值将原图像分成前景，背景两个图象(The principle of the inter-class variance method of Otsu is to use the threshold to divide the original image into the foreground and the background two images)
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利用ML算法对训练集进行学习，利用多维高斯进行判断后对输入图片进行前景后景判断(The training set for learning to use ML algorithm to judge on the input image foreground & background)
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实现图像的前景与背景分割，设定三个不同阈值，直接观察分割结果或者利用统计直方图，得到一个自适应的阈值，再观察实验结果；(Segmentation of foreground and background of image, threshold segmentation method)
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A binary image is a digital image that has only two possible values for each pixel. Typically, the two colors used for a binary image are black and white. The color used for the object in the image is the foreground color while the rest of the image
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