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利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
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基于码书的运动目标检测是和混合高斯模型（MoG，GMM）类似的而简单有效的背景剪除方法，附件是VC++6.0编写的基于码书的运动目标检测，可直接读取摄像头，也可改为读取硬盘视频文件，需安装Opencv1.1，-Codebook-based moving target detection and Gaussian mixture model is (MoG, GMM) and a similar cut off the background simple and effective method
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基于混合高斯背景模型的背景剪除法，可以对背景进行实时的更新实现对前景的检测-Background model based on Gaussian mixture background pruning method, the background can be updated in real time to achieve the detection of future
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包括kf，ekf，pf，upf可以自己定制模型参数，完成滤波-ReBEL currently contains most of the following functional units which can be used for state-, parameter- and joint-estimation:
Kalman filter
Extended Kalman filter
Sigma-Point Kalman filters (SPKF)
Unscented
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基于变分贝叶斯的独立成分分析
模型包括一般的高斯混合模型以及高斯混合模型与隐马尔科夫结合在一起的-Based on variational Bayesian independent component analysis model consists of a general Gaussian mixture Gaussian mixture model and hidden Markov models and combined
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基于Directionlet变换的图像去噪与增强的算法研究；基于提升Directionlet域高斯混合尺度模型的图像噪声抑制等。-Image denoising based Directionlet transform algorithm and enhanced Gaussian mixture based on lifting Directionlet field-scale model of image noise suppression.
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以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测-The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection
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本程序，是SAR图像的提机密性，如广义高斯混合模型，welbull模型和高斯模型等等，是学习SAR图像统计模型的基础程序-This procedure is a SAR image to mention confidentiality, such as the generalized Gaussian mixture model, welbull model and Gaussian model, is the study of the SAR image statistical model p
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matlab环境下开发的高斯混合模型，并实现聚类，最佳的类数由最大描述准则(MDL)来确定，并附有实验数据，是国外论文中的代码。-Gaussian mixture model developed in the Matlab environment , and clustering, to determine the optimal number of classes by the largest describe the criteria (MDL) , together with experi
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混合高斯模型原理，以及OpenCV实现的源代码，以及注释-Gaussian mixture model principle, and the realization of the source code
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背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on:
"Recursive unsupervised learning of fini
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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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matlab中可以运行的混合高斯模型，用于运动检测，提供了一个基本的程序框架，各种改进算法可以基于本程序进行-matlab can run Gaussian mixture model for motion detection, provides a basic framework of the program, various improvements to the algorithm based on the Program.
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EM算法用于高斯混合模型，实现数据的精确分类-The EM algorithm for Gaussian mixture model, the exact classification of the data
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实现了高斯混合尺度模型（GSM）算法，可被嵌入到各种去噪框架中（如各种小波变换等）使用。-Gaussian mixture scale model (GSM) algorithm, can be embedded into a variety of denoising framework (such as a variety of wavelet transform, etc.) use.
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在MATLAB环境下，用混合高斯背景建模的方法实现对视频中运动目标的检测-In the MATLAB environment, using Gaussian mixture background modeling method to achieve the detection of moving targets in the video
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利用GMM算法实现语音信号的高斯混合模型的建立-Gaussian mixture model GMM algorithm of speech signals
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利用EM算法实现高斯混合模型的优化，完成特征建模-Use of EM Algorithm to to achieve the the the optimization of of the Gaussian mixture model, to complete the Feature Modeling
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A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture and
Hidden Markov Models
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基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
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