搜索资源列表
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
GGM
- 用广义高斯模型（GGM）拟合分布代码，包括生成直方图，参数估计等-for GGM simulation
CvBSLibGMM
- 改进的高斯混合模型用于运动目标的检测和分割,利用C++和matlab混合编程.-Improved Gaussian mixture model for moving object detection and segmentation, the use of C++ and matlab programming mixed.
EM_GM
- 针对于K维高斯混合模型估计的期望最大算法-EM algorithm for k multidimensional Gaussian mixture estimation
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
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
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
e_m_matlab
- 高斯混合模型的em 内含源代码与例子和实验报告-Gaussian mixture model of the em algorithm
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
skinmodel
- 基于高斯肤色模型检测肤色，可用于人脸检测-based gaussian skin model detect skin can be used face detect
gmmMatlab
- 关于高斯混合模型（GMM）的matlab源代码-是用于训练分类的不错的源代码-On the Gaussian mixture model (GMM) of the matlab source code- is used to train a good classification of the source code
em
- EM基本算法，高斯混合模型的应用，很基础，思路清晰-EMMixtures of Gaussians
mtest_new5_simple1
- matlab实现的对样本视频的混合高斯模型的检测代码-Sample video detection code Gaussian mixture model
YCbCrGaussian_Sun
- 这个程序用来统计被训练的肤色在YCbCr空间的聚类情况，从而建立一维高斯模型，进行肤色分割。-Statistics and observe various color space of 1-d gaussian clustering including Y Cb Cr。
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法，并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
The_nonlinear_filtering_algorithm_performance_anal
- 对目前非线性滤波的主要算法即扩展卡尔曼滤波、不敏卡尔曼滤波、粒子滤波、扩展卡尔曼粒子滤波和不敏粒子滤波的滤波模型、适用条件、性能进行了分析比较，给出了每种方法的计算复杂度．通过一个非线性非高斯模型进行了仿真，验证了这些算法的性能。-Present the main algorithms of the nonlinear filtering extended Kalman filter, Unscented Kalman filter, particle filter, particle filt
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.)
Kdistribution
- 基于球不变随机过程法，使用复合高斯模型来产生K分布杂波数据的matlab仿真程序 (为了不低于上传文件的大小要求传了两份一样的，编程就几句话实在弄不大）(A matalab simulation program for producing K distribution clutter data, which used compound Gauss model, and is based on spherically invariant random vector method)
EM算法用于高斯混合模型
- EM算法在高斯混合模型的参数估计中的应用，内服Matlab程序例子。(Application of Matlab program and EM algorithm in parameter estimation of Gaussian mixture model.)