搜索资源列表
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
gmm
- 高斯混合模型的详细实现 内有多个.m文件-Gaussian mixture model has a number of detailed implementation. M files
kalman-filter
- 卡尔曼滤波的仿真程序，高斯混合模型实现，分数阶统计程序，-gmm kalman filter
work
- 实现利用高斯混合模型方法对工业过程故障检测，稳定、可靠。-Gaussian mixture model fault detection
run
- 基于混合高斯模型的背景减除实现程序，速度还可以，但是效果不是特别好，还有待改进-Gauss mixture model background subtraction procedure based on the implementation, can also speed, but the effect is not particularly good, there is room for improvement
note-on-GMM
- 高斯混合模型GMM的学习资料，包含一个学习笔记和一个简单的C++实现-Gaussian mixture model learning materials, including notes and a simple C++ source code
VIBE-master
- Vibe算法实现目标跟踪，目标检测,比混合高斯模型速度更快更准确-Vibe algorithm target tracking, target detection, faster and more accurate than Gaussian mixture model speed
基于高斯混合模型的红外目标检测算法研究
- 目前图像处理技术已经广泛应用于人们生产生活的各个方面，对于相关技术的研究具有广泛的研究意义和应用价值，本文中研究的主要内容为基于混合高斯模型的红外图像运动目标检测算法研究及实现。(All aspects of the image processing technology has been widely applied in people's life and production, has wide application value and research significance for
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.)
mixture_of_gaussians
- 采用高斯混合模型来对目标进行前景检测，并用MATLAB实现。(The Gauss mixture model is used to detect the foreground of the target, and it is implemented by MATLAB.)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)