搜索资源列表
GMM
- 多高斯模型是检测运动目标的一种背景消减的方法，这是用matlab实现的
gmm
- 混合高斯模型是一种比高斯模型更好的背景建模方法
利用OPENCV來實現高斯混合模型的背景相減
- 利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background
lhgcxgmm.rar
- 自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型,Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model
gmm_test.rar
- 使用EM算法模拟高斯混合模型（GMM）的构成,Analog EM algorithm using Gaussian mixture model (GMM) the composition of
GMM
- 本代码建立高斯混合模型(高斯多模型)(GMM)，将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
BGFG_CODEBOOK
- 基于码书的运动目标检测是和混合高斯模型（MoG，GMM）类似的而简单有效的背景剪除方法，附件是VC++6.0编写的基于码书的运动目标检测，可直接读取摄像头，也可改为读取硬盘视频文件，需安装Opencv1.1-Codebook-based moving target detection and Gaussian mixture model (MoG, GMM) and a similar cut off the background simple and effective method of a
GMM
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
GMM
- 高斯模型的实现，vc 6.0环境下实现的源代码，对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
GMM
- 利用K-高斯混合模型提取视频的前景信息。-The use of K-Gaussian mixture model for the future of video information extraction
GMM
- 建立了混合高斯模型，可以对静止背景下运动目标进行检测。-Gaussian mixture model is established, you can still detect moving target in the background.
GMM-Libraries-for-Matlab
- GMM-GMR!高斯混合模型-高斯混合回归-Gaussian Mixture model-Gaussian Mixture Regression!
gmm
- 可以从摄像头采集实时监测的混合高斯模型算法-Collected from real-time camera monitoring of Gaussian mixture model algorithm
C-code-of-GMM
- OpenCV中，利用C语言写的GMM模型的代码。-OpenCV, the use of the GMM model code written in C language.
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)
GMM-GMR-v2.0
- 统计概率模型 高斯混合模型的匹配，属于拟合类算法，可以用于2D 和3D数据(Expectation-Maximization estimation of GMM parameters. % This source code is the implementation of the algorithms described in % Section 2.6.1, p.47 of the book "Robot Programming by Demonstration: A %
gmmreg_cpd
- GMM模型的CPD配准算法，非刚性配准，点集配准(CPD registration algorithm of GMM model)
Gmm
- 高斯混合模型,利用Ｃ++ OEPNCV来完成(This is a GMM model using C++ opencv to deal with it)
gmm
- 基于高斯混合模型的运动目标检测，opencv平台，直接可用(Moving target detection of Gauss mixed model)
GMM-HMRF
- 基于高斯混合模型和隐马尔科夫模型的图像分割算法(Image segmentation algorithm based on Gaussian mixture model and hidden Markov model)