搜索资源列表
EMEM
- 高斯混合模型C++版本-Gaussian mixture model C version
originpro
- 背景消除方法：利用多维高斯混合模型，建立背景模型。虽然速度慢了点，但是方法很好，希望能给大家一点帮助:)
gmmMatlab
- 高斯混合模型的matlab源代码，拭一款经典的程序-Gaussian mixture model matlab source code, taking a classic procedure
Matlab-Fitting-Functions
- 附件中的m代码包括了一系列的拟合函数，这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、-M in the annex to the code, including a series of fitting function, which function normally is the probability distribution of input samples. There
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法（MCEM）的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
相邻帧差法提取运动目标并计时
- 混合高斯模型提取运动区域算法。。。。。。。。。(Hybrid Gauss model for moving region extraction)
背景差GMM
- opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
mixture_of_gaussian
- 利用混合高斯模型对一个图像序列或视频进行背景的去除，检测运动目标(Using the mixed Gaussian model to remove an image sequence or video background, or detect the moving target.)
高斯混合模型EM算法MATLAB程序
- 在高斯混合模型上实现聚类问题的算法。将2个高斯混合，然后尝试学习两个高斯混合后的参数。(Algorithm for clustering problem on Gauss mixture model. Mix the 2 Gauss and then try to learn the parameters after the two Gauss mixing.)
GMM
- 混合高斯算法，用opencv3实现，用于对运动目标进行检测 效果还算是不错的，代码通俗易(Hybrid Gauss algorithm)
mixgauss
- 混合高斯模型图像处理程序,适合应用于运动物体检测等图形处理问题(mix-Gauss model image processing program, suitable for moving object detection and other graphic processing problems)
GMMmatlab程序
- 混合高斯模型，用于背景变化无抖动的目标的前景提取(The hybrid Gauss model is used for foreground extraction of background invariant targets without jitter)
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debug
GaussianMixtureModel_EM-master
- 用于混合高斯背景建模 MATLAB代码(The mixed Gauss background modeling MATLAB code)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征，在线地更新参数和权重，实现运动检测和前景提取的同步进行，即采用混合高斯背景算法进行建模，以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated onlin
三种传统背景减除法
- 使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by fr a me difference method, mean value method and hybrid Gauss model. D graduate fro
hunhegaosi
- 混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learni
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
mixedGauss
- 混合高斯matlab实现， 具体见代码(mix gauss)
OpenCVGMMComment
- OpenCV库中对于混合高斯模型我自己的注释，通俗易懂，并且与论文相结合，附上了例程(OpenCV GMM comment by zyx)