搜索资源列表
高斯混合模型原理
- 能了解混合模型的每一步操作
高斯混合模型的EM算法的源程序代码
- GMM模型的一个小例子，可以做出不学习这个模型用
BK_Gauss混合高斯背景
- 本算法基于混合高斯模型编程，采用opencv库，能够运行-The algorithm is based on the mixed Gaussian model programming, using opencv library, able to run
EMGMM
- 混合高斯模型和EM算法结合，当中用到了自己写的Kmeans聚类，附带测试样例、训练样例和main函数。-Gaussian Mixture Model and EM algorithms, which use their own written Kmeans cluster, with the test sample, the training sample and the main function.
imputation.tar
- 一个很有用的EM算法程序包，可用于混合高斯模型，值得一看哦-A useful package of the EM algorithm can be used in mixed-Gaussian model, see Oh
2119413023220076181125249677325rar
- 可用于视频目标检测中背景生成的混合高斯模型-Can be used for video object detection in the context of generating a mixture of Gaussian model
xml_toolbox-3.2.1-matlab-7.0-R14
- 高斯混合模型的matlab的实现，但是不包含em算法在里面，但是有版权，注意阅读内容-Gaussian mixture model of the matlab implementation, but does not include the em algorithm inside, but has the copyright and pay attention to read the content
code
- 视频运动物体检测，采用混合高斯分布建立背景模型及差分方法对背景模型进行更新-Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
gussmodel
- 混合高斯模型建模，对视频中背景进行混合高斯建模，在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment
Background_GMM
- 混合高斯模型，建立背景模型，从而可以分离前景与背景-Gaussian mixture model, background model, which can be separated from foreground and background
GuassionModel
- 基于混合高斯模型的运动目标检测，值得学习，对背景更新相当有效-opencv程序
gauss_model
- 目前比较流行的智能视频分析里用到的 混合高斯模型算法，可以用来建立背景。-Currently more popular where intelligent video analysis algorithms used in Gaussian mixture model can be used to establish the background.
bodymotiondetection
- 学习opencv图像处理中人体目标跟踪的一些很有用的资料，主要是讲camshift,meanshift和高斯混合模型。-Learning opencv image-processing for target tracking in the human body a number of very useful information, mainly speaking camshift, meanshift and Gaussian mix
matlab_utilities
- 粒子滤波、无迹粒子滤波算法程序，高斯混合模型参数设置等详细代码-Particle filter, unscented particle filter program, Gaussian mixture model parameter settings, and more code
mixGuass
- 利用混合高斯模型进行前景提取，能够达到较好的检测结果-mix Guass， objects extracting
混个高斯背景建模
- 混合高斯模型背景建模混合高斯模型背景建模混合高斯模型背景建模混合高斯模型背景建模混合高斯模型背景建模混合高斯模型背景建模混合高斯模型背景建模
交叉熵优化高斯混合模型
- matlab最大似然优化与交叉熵(CE)多高斯混合估计算法的应用(Maximum Likelihood Optimization and Cross Entropy (CE) Multi - Gaussian Mixture Estimation Algorithm)
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 da
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.)
GMM
- 高斯混合聚类的python实现代码，里面有data的demo(Python implementation code of Gauss mixed clustering)