Description: 这个是应用混合高斯的背景建模的方法进行的目标检测的程序,需要应用opencv.供大家交流交流-this is the application of Gaussian mixture of the background modeling method for the detection procedures, opencv needed. for the exchange of exchange Platform: |
Size: 433152 |
Author:王鑫 |
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Description: ：介绍了扩展卡尔曼滤波算法和无迹变换(unscented transformation，UT)算法，并对扩展卡尔曼滤波算法(EKF)和无
迹卡尔曼滤波算法(UKF)进行比较，阐明了UKF优于EKF。在此基础上，提出了一种基于Unscented变换(uT)的高斯和滤
波算法，该算法首先通过合并准则得到适当个数的混合高斯模型，逼近系统中非高斯噪声的概率密度-: Introduction of the extended Kalman filter algorithm and unscented transform (unscented transformation, UT) algorithm, the extended Kalman filter algorithm (EKF) and unscented Kalman filter (UKF) for comparison to clarify the UKF is superior to EKF. On this basis, we propose an approach based on Unscented Transform (uT) and the Gaussian filtering algorithm, which first of all, by merging the appropriate number of criteria to be a mixture of Gaussian model, which was close to the system of the Central African Gaussian noise probability density Platform: |
Size: 205824 |
Author:lyh |
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Description: EM算法是机器学习领域中常用的一种算法，这个文件是EM算法最简单的一种实现，即在Gaussian Mixture model上面的EM。-EM field of machine learning algorithm is commonly used in an algorithm, this document is the most simple EM algorithm as a realization that, in Gaussian Mixture model above EM. Platform: |
Size: 3072 |
Author:De-Chuan Zhan |
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Description: 这是一个高斯混合模型的源代码,环境是matlab,
高斯混合模型运用于多个方面,在信号处理中应用非常广泛,初学者可以作为参考-This is a Gaussian mixture model of the source code, the environment is matlab, Gaussian mixture model applied to various aspects of signal processing applications in a very wide range of beginners can be used as reference Platform: |
Size: 3072 |
Author:亿摆 |
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Description: ％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％- EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates Platform: |
Size: 3072 |
Author:Shaoqing Yu |
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Description: GMM 混合高斯自适应背景维护 可以用来做行人检测 等-GMM Gaussian Mixture adaptive background maintenance can be used to make the pedestrian detection Platform: |
Size: 53248 |
Author:li shu |
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Description: 这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。-This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you. Platform: |
Size: 251904 |
Author: kellan |
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Description: 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. Platform: |
Size: 124928 |
Author:齐欣 |
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Description: 此代码实现了基于码书的背景建模法在运动目标检测中的运用-This code implementation code book based on background modeling method in target detection exercise in the use of Platform: |
Size: 3072 |
Author:chenfei |
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Description: This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation Platform: |
Size: 216064 |
Author:Rajaram |
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Description: Mixture of linear regressors. The routines contained in this file allow inference and learning of a mixture of linear-Gaussian regression models. Learning is performed by maximizing the data likelihood via the expectation maximization algorithm. Platform: |
Size: 4096 |
Author:ruso |
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Description: 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation Platform: |
Size: 2755584 |
Author:chuck |
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Search - mixture of gaussian