搜索资源列表
Track.rar
- 一个基于Visual C++的跟踪算法(混合高斯）,Track demo (GMM)
classify.rar
- 分级聚类程序，可实现最小距离聚类法、最大距离聚类法、平均距离聚类法。,Hierarchical clustering procedure can achieve the minimum distance clustering, maximum distance clustering method, the average distance clustering method.
LiuMixGauss
- 混合高斯模型背景建模，适用于视频跟踪，目标分割。 -GMM background modeling for video tracking, object segmentation.
CG11
- 基于高斯的背景建模，更改文件路径，载入AVI视频，运行，出现3个窗口，分别为视频、背景模型和前景-gmm
201022817183340006
- 一个关于GMM实现的MATLAB的训练代码！很有用，用来检测纹理。-using to detection texture.
gg
- Its a GMM code gmr, matrix, vector etc codes are very useful
js_gmm_Lee
- 根据Lee与2005年发表的混合高斯模型背景建模的论文编写的源代码，可以作为对GMM算法改进的一个参考。-According to Lee s paper published in 2005 about GMM background modeling, it is written in C. It should be a reference for those who are intrested in GMM algorithm improvement.
js_exponential
- 这是采用exponential算法对GMM改进的源代码。它可以作为对GMM改进感兴趣的程序眼参考。-This exponential algorithm is used to improve the source code for GMM. It can be as interested in improving the procedures for GMM eye reference.
morphology
- 对GMM更新时，形态学处理的使用的程序源码。-on improving GMM, the use of morphological processing program source code is discussed.
netlab
- 里面包含的GMM等众多Matlab源程序，可以直接调用，均以应用为函数的命名，可以直接了解其用处，对于做图像处理的很有帮助，可以直接调用。-Which contains the GMM and many Matlab source code can be called directly, are applied to the function name, can understand its usefulness, useful for doing image processing, can b
gmm
- 混合高斯算法实现及一些自己对高斯混合模型的理解。-Gaussian mixture algorithm and some experience
mixture_of_gaussians
- 混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。-training video with GMM model ,then get the background,and store the picture in your computer.
dabu
- The fn will calculated subband energes as given in the att tech paper of ruhi sarikaya and others. the fn also calculates the DCT part. using this fn and other algo for pattern classification(VQ,GMM) speaker identification could be achived. the progr
GMM_MDL
- matlab环境下开发的高斯混合模型，并实现聚类，最佳的类数由最大描述准则(MDL)来确定，并附有实验数据，是国外论文中的代码。-Gaussian mixture model developed in the Matlab environment , and clustering, to determine the optimal number of classes by the largest describe the criteria (MDL) , together with experi
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
gmmcv
- 混合高斯模型 在opencv平台下实现 能够分离出视频序列中运动区域，并且建立背景-GMM gaussion mixture models
EM_GM_fast
- EM算法的图分割,基于GMM模型改进的快速EM算法，为m文件-EM algorithm image segmentation
DM6437-GMM
- 在DM6437上借助VLIB实现高斯背景建模-With the DM6437 on VLIB Gaussian background modeling
daima
- 混合高斯模型 图像处理高斯混合模型(Gaussian而 xturemodel，简称GMM)是单一高斯概率密度函数的扩展和延伸，由于GMM能够平滑地近似任意形状的密度分布，因此近年来常被用在视频及语音信号的处理中-Gaussian mixture model for image processing
GMM
- 利用混合高斯进行背景建模，实现运动目标检测-Gaussian mixture background modeling, moving target detection