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混合高斯模型，建立背景模型，从而可以分离前景与背景,Gaussian mixture model, background model, which can be separated from foreground and background
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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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混合高斯模型，直接应用于图像分割，简单易行，傻瓜式操作，保准让你爱不释手。-gaussian mixture model applied to image segmentation, easy, convenient, you are sure to love it.
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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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这个文件包里包含了几乎所有的聚类的工具箱，包含采用混合高斯模型的运动物体检测方面的源代码。-This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.
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基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
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利用K-高斯混合模型提取视频的前景信息。-The use of K-Gaussian mixture model for the future of video information extraction
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利用混合高斯模型进行前景检测的源代码实现，依据的是Stauffer发表的Adapptive background mixture models for real-time tracking.-The prospects for the use of Gaussian mixture model, detection of the source code implementation, based on the Stauffer published Adapptive background mix
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GMM Model Gaussian Mixture Models - Algorithm and
Matlab Code-GMM Model!
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实现基于混合高斯模型的运动目标检测算法的仿真-Achieved based on Gaussian mixture model simulation of moving target detection algorithm
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Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
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GMM-GMR!高斯混合模型-高斯混合回归-Gaussian Mixture model-Gaussian Mixture Regression!
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This paper is concerned with estimating a probability density function of human skin
color using a finite Gaussian mixture model whose parameters are estimated through the EM
algorithm.sections
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高斯混合模型，从97年到2011年间经典英文文献13篇，对与学习高斯模型的同学很有帮助-Gaussian mixture model, the classic English literature from 1997 to 2011, 13, very helpful with the students to learn the Gaussian model
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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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基于自适应学习速率混合高斯模型的背景消除-Gaussian mixture model-based adaptive learning rate background elimination
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基于高斯混合模型的背景减除法，及目标检测额实现-Based on the background of the gaussian mixture model reduction division, and target detection amount to realize
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混合高斯模型GMM EM算法，建模效果好，可以用于行为识别-Gaussian mixture model GMM EM algorithm, modeling effect, can be used for behavior recognition
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