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This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
-This code is to estimate the parameter of model of Jian Gauss which is popular model used in pattern cla
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关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
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混合高斯模型，用于背景建模的程序，使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
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ddtool,实现one class classification.包括gaussian 模型， gaussian 混合模型，Parzen density，knn,kmean,kcenter等方法,ddtool, the realization of one class classification. including the Gaussian model, gaussian mixture model, Parzen density, knn, kmean, kcenter methods
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用matlab实现高斯混合模型Em算法的源程序哪位有呀,帮帮忙啦- 工具箱与,With the realization of Gaussian mixture model matlab algorithm Em Which source are you? Help help you- the toolbox and
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基于Matlab的高斯混合模型的算法实现，该程序可以实现对图像处理的功能,Matlab based on the Gaussian mixture model algorithm, the program can achieve the functions of image processing
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用平均背景法去除背景，算法思想比混合高斯模型和codebook模型简单，适合提取背景变化较小的场景。用中值滤波去除掉产生的椒盐噪声-Average method to remove the background with the background, the algorithm thought codebook than the Gaussian mixture model and a simple model for extraction of small changes in backgr
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本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
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基于EM算法的高斯混合模型参数估计Matlab算法，-EM algorithm-based parameter estimation of Gaussian mixture model
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基于变权重MRF的图像分割算法，特征场是使用混合高斯模型，标记场使用Pott模型，基于迭代条件模式进行分割-MRF based on weighted image segmentation algorithm, feature field is the use of Gaussian mixture model, using the tag field Pott model segmentation based on iterative model conditions
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对广义高斯混合模型有个初步的认识，基本掌握GGD模型-Generalized Gaussian mixture model has a preliminary understanding of the basic grasp the GGD model
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高斯混合模型是單一高斯機率密度函數的延伸，由於GMM 能夠平滑地近似任意形狀的密度分佈，因此近年來常被用在語音與語者辨識，得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte
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交叉熵实现多元高斯混合模型优化的源代码，供大家学习使用-Realize cross-entropy optimization of multi-Gaussian mixture model of the source code for the U.S. study the use of
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基于混合高斯模型的多目标跟踪算法，对背景图像建立混合高斯模型，实时更新高斯模型，达到更新背景的目的。-Gaussian mixture model-based multi-target tracking algorithm, Gaussian mixture model to establish the background image, real-time updates Gaussian model, to achieve the purpose of updating the backgr
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高斯混合模型的背景提取，目标检测算法的几篇论文！对于理解和研究高斯模型有很大帮助！-Gaussian mixture model for background extraction, several papers in the target detection algorithm! For the understanding and study of the Gaussian model of great help!
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实现混合高斯背景建模，对给定图像序列进行背景建模.内置的参数可以自行修改，以适用不同的应用需求。-mixture of gaussian，it will help you to construct the background model of series frames
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混合高斯模型算法，可以产生混合高斯分布，并通过自拟和确定高斯函数个数。-Gaussian mixture model algorithm, can produce a mixture of Gaussian distribution, and through self-fitting to determine the number of Gaussian function.
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opencv混合高斯模型实现的理论基础,比较有参考价值-The theory of the mixture gaussian model in opencv
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混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal compon
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GMM(Gaussian Mixture Model)，高斯混合模型(或者混合高斯模型)，也可以简写为MOG(Mixture of Gaussian)。(GMM(Gaussian Mixture Model))
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