搜索资源列表
matlabGMM
- 用matlab编的混合高斯模型的背景建模方法，可以参考一下。-Matlab compiled using a mixed Gaussian model of background modeling method, you can reference.
mixture_of_gaussians
- 基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
backgroundmodeling
- 运动目标检测，背景建模，高斯背景建模，对初学者很有帮助-Moving target detection, background modeling, Gaussian background modeling, very helpful for beginners
gaussian
- 高斯背景建模，可以处理单通道或者多通道图像，效果不错，完整注释-Gaussian background modeling, support single channel or multiple channel
xiaobo
- ．首先，建 立背景的混合高斯分布模型和阴影颜色模型，通过差分法提取前景区域并结合Gabor小 波纹理特征分析找出潜在的阴影点；然后通过阴影颜色模型对这些潜在的阴影点进行颜 色分析；最后通过后续处理，找出真正的阴影区域-. First of all, to establish the background Gaussian mixture distribution model and the shadow color model, by differential extraction
grayplay
- 使用3阶混合高斯模型进行运动目标提取并进行背景更新-Using Gaussian mixture model of order 3 moving object extraction and background update
GMM_bg_ex
- Visual C++ 与 Opencv 联合实现的混合高斯模型背景提取与更新。-Opencv Visual C++ and the joint implementation of the Gaussian mixture model background extraction and updating.
GMM
- 建立了混合高斯模型，可以对静止背景下运动目标进行检测。-Gaussian mixture model is established, you can still detect moving target in the background.
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.
mulgmm
- 利用混合高斯模型对图像序列经行背景建模，并保存。（附图片）-Using Gaussian mixture model for background modeling image sequences through the line and save. (With pictures)
mixture_of_gaussians
- 这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行-This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
背景建模法
- 介绍当前几种比较常见的背景建模方法，例如高斯，码本，均值等
demo
- 利用训练集训练一个高斯模型，进行运动目标的提取（文件中包含数据集）(Use the training set to train a Gaussian model to extract the moving object (the file contains the data set))
mixture_of_gaussian
- 利用混合高斯模型对一个图像序列或视频进行背景的去除，检测运动目标(Using the mixed Gaussian model to remove an image sequence or video background, or detect the moving target.)
混合高斯matlab程序
- 基于混合高斯的matlab仿真程序，用于背景提取和运动目标检测！！
21
- 21.【高斯处理视频并跟踪运动做前景背景分割】bgfg2(21. [Gauss processing video and tracking movement, foreground background segmentation] bgfg2)
一问 + 二问 VIBE_Code
- 用混合高斯模型进行背景处理，并能过滤微小的扰动，适用于动态背景(Use the mixed Gaussian model for background processing and to filter tiny perturbations for dynamic background)
code
- 初步尝试使用单高斯模型进行背景建模与跟踪提取，采用形态学方法，对于背景单一的场景，提取效果还可以。(Preliminary attempts are made to use single Gauss model for background modeling and tracking extraction. Morphological method is used to extract the effect from a single scene.)
GMMmatlab程序
- 混合高斯模型，用于背景变化无抖动的目标的前景提取(The hybrid Gauss model is used for foreground extraction of background invariant targets without jitter)