搜索资源列表
szpGauss
- 用C＋＋实现的高斯混合模型的算法类，方差矩阵是对角矩阵-C + + Gaussian mixture model algorithm category, variance matrix is diagonal matrix
gmmtrainer
- 这个源码提供了如何利用高斯混合模型去做影像辨识的参数的训练-the source how to use a Gaussian mixture model to do the imaging parameters of literacy training
gmmclassifier
- 这个源码提供了如何利用高斯混合模型去做影像辨识的模型分类-the source how to use a Gaussian mixture model to do imaging Identification Classification Model
EMEM
- 高斯混合模型C++版本-Gaussian mixture model C version
training_gmm
- 训练高斯混合模型的程序，尽管此类代码较多，但本程序经过笔者改写优化后，很大程度上避免了普通方法中局部最优的问题。-Gaussian mixture model training procedures, although the code more, but the procedure after the author rewrite optimization, largely avoiding the ordinary method of optimal local issues.
gmm_creation_mle
- 采用期望最大算法最优化初始高斯混合模型的程序，笔者借用ubm自适应方法，很好的解决了模型不收敛的问题。-expectations largest algorithm using optimization initial Gaussian mixture model procedures, the author borrowed ubm adaptive method, a good model is not the solution convergence problem.
dxbx
- 约束高湿混合模型，ER算法求解参数，借助最小二乘拟合数据中心线，统计其欧式距离进以展开数据分析。(Constrained high humidity mixed model, ER algorithm to solve the parameters, with the least squares fitting the data center line, statistical European distance into the data analysis.)
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.)
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)
混合高斯matlab程序
- 基于混合高斯的matlab仿真程序，用于背景提取和运动目标检测！！
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)
GaussianMixtureModel_EM-master
- 用于混合高斯背景建模 MATLAB代码(The mixed Gauss background modeling MATLAB code)
sy5
- 利用混合高斯模糊算法提取视频前景图，可以将静态视频中的动态目标提取出来。方便观察研究运动目标。(Using hybrid Gauss fuzzy algorithm to extract video foreground images, dynamic objects in static video can be extracted. It is convenient to observe and study the moving targets.)
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 frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling
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 learning exchange, the environment 2
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)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)