搜索资源列表
LiuMixGauss.rar
- 关于自适应背景提取，是基于高斯模型的，效果很好,On adaptive background extraction is based on the Gaussian model, the effect of good
GMM
- 混合高斯模型的C++程序，封装成为C++的类，直接调用即可。-gaussian mixture model train code
emgmm
- 最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
Em
- 通过em算法实现对数据的高斯混合模型的分类-Em algorithm through implementation of data Gaussian mixture model classification
gmm
- 高斯混合模型的详细实现 内有多个.m文件-Gaussian mixture model has a number of detailed implementation. M files
gaosi
- 基于VC6.0编程的混合高斯模型，采用OpenCV技术 可以对摄像头数据 或是本地avi视频数据进行处理。-Programming based on Gaussian mixture model VC6.0 using OpenCV camera technology data can be local or avi video data for processing.
MovDetect
- 基于复杂背景，单运动目标的检测，原始混合高斯模型背景更新与检测-Based on complex background, a single moving target detection, the background of the original Gaussian mixture model updated with the detection
TGMMMrarh
- 本混合高斯模型是一种基于opencv的，运用用了系统自带的检测函数，检测效果较好.欢迎切磋! -Gaussian mixture model is based on the opencv, the use of the system comes with the detection functions, better detection. Welcome to learn!
Gcvrara
- 混合高斯模型车辆运动检测 [VVisual C++]检测效果不错 -Gaussian mixture model vehicle motion detection [VVisual C++] detected well
GMMUD
- 用混合高斯模型对背景进行建模，从而提取背景-update background
Mixed-Gussian-matlab
- 基于混合高斯模型的matlab代码，用于求概率问题，可行，已经运行过了-Based on Gaussian mixture model matlab code for the required probability problems, feasible and has been running over
hybrid-gaussian
- 混合高斯模型，提取前景和背景。效果勉强，可直接使用。-Mixed Gauss model, extraction of foreground and background.
run
- 基于混合高斯模型的背景减除实现程序，速度还可以，但是效果不是特别好，还有待改进-Gauss mixture model background subtraction procedure based on the implementation, can also speed, but the effect is not particularly good, there is room for improvement
GMM
- 一种改进的混合高斯模型（GMM）算法，加入形态学滤波与团块处理算法，运动目标提取效果良好。(An improved hybrid Gauss model (GMM) algorithm, which combines morphological filtering and blob processing algorithm, achieves good moving target extraction.)
基于高斯混合模型的红外目标检测算法研究
- 目前图像处理技术已经广泛应用于人们生产生活的各个方面，对于相关技术的研究具有广泛的研究意义和应用价值，本文中研究的主要内容为基于混合高斯模型的红外图像运动目标检测算法研究及实现。(All aspects of the image processing technology has been widely applied in people's life and production, has wide application value and research significance for
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.)
EmGm
- 图片配准，点集分类，采用EM方法求解高斯混合模型。(Image registration, point set classification, EM method is used to solve the Gauss mixture model.)
Gaussian Mixture Model Ellipsoids
- 基于2个一维高斯模型组成的多维混合高斯模型，采用Python进行编程(Multidimensional mixed Gauss model based on 2 one-dimensional Gauss models and programming with Python)
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)