搜索资源列表
MATLAB
- 使用混合高斯函数，对点配准的方法，他的鲁棒性比较好。 -This package contains the MATLAB code for the robust point-set registration algorithm discribed in the A Robust Algorithm for Point Set Registration Using Mixture of Gaussians."
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
IGMM
- 这是一篇经典的论文，基于混合高斯的数学模型应用在视频处理中，进行的移动物体提取-Multi-Gaussian model is the detection of moving targets in a background reduction method, which is achieved using matlab
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
MoG
- 混合高斯建模 matlab版，绝对正确。多多下载，谢谢大家支持-Gaussian mixture modeling matlab version, absolutely correct. A lot of downloading, Thank you for your support
ObjectExtraction
- 利用混合高斯模型检测到目标，并对运动目标的运动加以分析。文件齐全，欢迎下载-Detection of the use of mixed-Gaussian model to the target, and the movement of moving targets to be analyzed. Complete documents, please download
em
- 混合高斯概率密度模型,其参数估计可以通过期望最大化( EM) 迭代算法获得。-EM estimation parameters Gaussian mixture processes
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of con
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
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
Pattern_Classification_Project_3
- 两个模式识别算法实现，一个是线性区别函数另一个是混合高斯模型方法。本人的大作业，经验证可用。-Two pattern recognition algorithm, the difference between a linear function of the other is the Gaussian mixture model. I am a big operation, experience certificates availab
cv
- 混合高斯模型车辆运动检测 [VC++] 检测效果不错-Gaussian mixture model vehicle motion detection [VC++] detected the effect of good
Track
- 一个基于Visual C++的跟踪算法(混合高斯）-Track demo (GMM)
Expectation-Maximization
- 混合高斯分布中基于最大期望算法的参数估计模型，适应于通信与信号处理以及统计学领域-Mixed Gaussian distribution algorithm based on the parameters of the greatest expectations of the estimated model, adapted to communications and signal processing, as well as the
gaussmix
- 混合高斯建模的原文章，英文版，最原始的资料。-Gaussian Mixture Modeling of the original articles, in English, the most primitive information.
EM-Algorithm
- 最大期望值算法以及在混合高斯模型的应用的详细介绍-Expectations algorithm and the largest mixed-Gaussian model in the details of the application
walkstraight
- 利用K均值聚类的方法实现人体的检测，混合高斯模型建立背景并实时更新-The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates
GMM_Purdue
- 基于混合高斯模型（GMM）的无监督聚类算法，希望对大家有帮助-Based on Gaussian mixture model (GMM) unsupervised clustering algorithm, I hope it would have help to you！
gmm
- 利用混合高斯模型训练视频，获得背景图像，并将背景保存。-training video with GMM model ,then get the background,and store the picture in your computer.
GMM_RGB
- 基于混合高斯的运动目标检测的跟踪！修改后可以使用。-Gaussian mixture-based tracking of moving target detection! Modifications can be used.