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The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussi
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使用混合高斯函数，对点配准的方法，他的鲁棒性比较好。
-This package contains the MATLAB code for the robust point-set
registration algorithm discribed in the A Robust Algorithm for Point Set Registration Using Mixture of Gaussians."
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Motion Tracking
=== === ===
This tarball contains all code required to run the tracking algorithm
on a sequence of images. Run the file run_tracker.m in Matlab and
follow the instructions. You will need to have a directory of
sequentiall
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Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. A
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EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
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这个代码适用于检测运动目标，基于混合高斯建模的运动目标检测。-this code can help you detection some objects，such as car，people，and so on. which based on mixture of gaussians background model
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C++实现的自动聚类系统KlustaKwik源代码\KlustaKwik-R1-7\KlustaKwik-ks for any type of data. We needed a program that
would:
1) Fit a mixture of Gaussians with unconstrained covariance matrices
2) Automatically choose the number of mixture components
3)
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This m-file implements the mixture of Gaussians algorithm for background subtraction.-This m-file implements the mixture of Gaussians algorithm for background subtraction.
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MATLAB CODE FOR BACKGROUND SUBTRACTION USING MIXTURE OF GAUSSIANS
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隐马尔科夫模型工具箱，readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
dhmm = HMM with discrete output
mhmm = HMM with mixture of G
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Program for fitting Mixture of Gaussian
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