搜索资源列表
MixGaussDemo
- 人体运动跟踪 混合高斯模型＋GRISON方法-human motion tracking GMM + GRISON methods
BK_Gauss混合高斯背景
- 本算法基于混合高斯模型编程，采用opencv库，能够运行
imputation.tar
- 一个很有用的EM算法程序包，可用于混合高斯模型，值得一看哦
关于高斯混合模型（GMM）的matlab源代码
- 关于高斯混合模型（GMM）的matlab源代码：,On the Gaussian mixture model (GMM) of the matlab source code:
EM-Algorithm.zip
- 最大期望值算法以及在混合高斯模型的应用的详细介绍,Expectations algorithm and the largest mixed-Gaussian model in the details of the application
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
mixGuass
- 利用混合高斯模型进行前景提取，能够达到较好的检测结果-mix Guass， objects extracting
EMCluster
- EM聚类算法，是学习混合高斯模型的好帮手-EM algorithm, Gaussian mixture model to learn a good helper
prtools
- 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
mixture_of_gaussians
- 混合高斯模型 图像检测 可以应用于视频和图片-Mixture Gaussian model image detection can be applied to video and picture
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
Pattern_Classification_Project_3
- 两个模式识别算法实现，一个是线性区别函数另一个是混合高斯模型方法。本人的大作业，经验证可用。-Two pattern recognition algorithm, the difference between a linear function of the other is the Gaussian mixture model. I am a big operation, experience certificates available.
cv
- 混合高斯模型车辆运动检测 [VC++] 检测效果不错-Gaussian mixture model vehicle motion detection [VC++] detected the effect of good
gaussbylulu
- 自己从ipencv里抓出来的混合高斯建模，适合移植到嵌入式里-His grasp from the inside out ipencv Gaussian mixture modeling, suitable for transplant into the embedded-ri
ViBe
- ViBe看过速度最快的运动检测代码。效果不比混合高斯差。这份资料内容包括：ViBe源代码，Demo程序以及相关的论文资料-ViBe，I have seen the fastest movement detection code. Less effect than mixed Gauss. This information includes: ViBe source code, Demo program and the related papers
hunhegaosi
- 应用混合高斯模型进行建模，讲解了混合高斯模型的原理，并附有实现的程序，有三种方法看，调试通过-Model the application of Gaussian mixture model to explain the principle of the Gaussian mixture model, together with the realization of the program, there are three ways of looking at debugging through
GMM
- 模式识别问题中GMM(混合高斯模型)的推导-Pattern recognition-Gaussian mixture model
gsbj
- 这段代码是在vs2010和opencv2.3.1环境中实现的混合高斯建模，下载的他人代码进行了修改与调试，之前代码是vs06的。版本之间不同，代码就会出很多错，很难调试，这个已被调试好，能跑。-This code is in Gaussian mixture modeling to achieve the vs2010 and opencv2.3.1 environment, download the others to modify the code and debug, before the
GMM
- 高斯混合聚类的python实现代码，里面有data的demo(Python implementation code of Gauss mixed clustering)
RCY-GMMtest1
- 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.)