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高斯混合模型算法实现c++，高斯混合模型就是用高斯概率密度函数（正态分布曲线）精确地量化事物，它是一个将事物分解为若干的基于高斯概率密度函数（正态分布曲线）形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it
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本算法实现的是目标的跟踪，采用的是混合高斯模型建立背景，然后用meanshift进行跟踪，包括使用MFC进行界面编辑-The algorithm is to track the target, using Gaussian mixture model background, and then meanshift track, including the use of interfacial MFC edit
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利用高斯混合模型（gmm）实现了目标与背景的分离以及前景的跟踪。-Gaussian mixture model (gmm) to achieve the objectives and background of the separation and the prospect of tracking.
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高斯混合模型，模式识别。matlab源码实现分类-Gaussian mixture model of pattern recognition.The matlab source code to achieve
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高斯混合模型算法流程，一组测试数据进行分类，用osg显示-Gaussian mixture model algorithm process, a set of test data classification, using osg display
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很多人找不到opencv的高斯混合模型的源码，这里我找到了，一个文件是bgfg_gaussmix.cpp，一个是bgfg_gaussmix2.cpp.-Many people find opencv Gaussian mixture model of the source code, and here I found, a file is bgfg_gaussmix.cpp, one bgfg_gaussmix2.cpp.
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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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gaussian-mixture-models: This tool clusters the input image into n number of colored sections by synthesizing a Gaussian Mixture Model (GMM) using Expectation Maximization (EM).
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本文主要是针对传统混合高斯模型运动目标检测算法的不足做出了一些改进-This article is for the shortcomings of traditional Gaussian mixture model moving object detection algorithm made some improvements
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Clustering of data points using Gaussian Mixture Model and EM Algorithm
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matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
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关于高斯混合模型GMM的matlab源代码,不错的源码-About gaussian mixture model of GMM matlab source code, source code
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关于高斯混合模型GMM的matlab源代码,不错的源码(About gaussian mixture model of GMM matlab source code, source code)
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A two-stage mechanism of ECG classification using Gaussian
mixture model(An automatic classifier for electrocardiogram (ECG) based cardiac abnormality detection using Gaussian mixture model (GMM) is presented here. In first stage, preprocessing tha
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一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and
tracking from traffic video using Gaussian mixture models and
Bayesian estimation. In particular, the system provides robust
foreground segmentation of moving vehicles
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高斯混合模型（GMM,Gaussian Mixture Model）参数如何确立这个问题，详细讲解期望最大化（EM,Expectation Maximization）算法的实施过程。(How to establish the parameters of Gauss mixture model and explain the implementation process of the expectation maximization algorithm in detail.)
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Focusing on the failure under the condition of target blocking, the similarity between
target color and background color for the Camshift algorithm, an improved algorithm
based on Camshift algorithm is proposed. Gaussian mixture model is used to
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Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detectio
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本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy
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