搜索资源列表
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
高斯模型
- 高斯混合模型,用于运动检测
关于高斯混合模型(GMM)的matlab源代码
- 关于高斯混合模型(GMM)的matlab源代码:,On the Gaussian mixture model (GMM) of the matlab source code:
cvbgfggaussmix.rar
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV,Gaussian mixture model for background modeling procedure, the use of when you install OPENCV
DIP
- 图像的操作,及视频流的相关操作,基于opencv,运动目标检测,中值滤波,高斯背景模型,混合高斯模型-The operation of the image, and video streams related operations, based on the opencv, motion detection, median filtering, Gaussian background model, Gaussian mixture model
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
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.
gussmix
- 本程序是对混合高斯模型的改进,从RGB空间转化到HSV空间。运行时要装OPENCV-This program is a Gaussian mixture model improvement, space conversion from RGB to HSV space
LiuMixGauss
- 混合高斯模型背景建模,适用于视频跟踪,目标分割。 -GMM background modeling for video tracking, object segmentation.
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
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-Gauss-model-EM-matlab
- EM算法计算混合高斯模型,可以计算三个参数。-Gaussian mixture model EM algorithm, three parameters can be calculated.
mixture_of_gaussians
- 混合高斯模型使用K(基本为3到5个) 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。-training video with GMM model ,then get the background,and store the picture in your computer.
EM_GMM
- 用EM算法对混合高斯模型中的参数进行估计 一种改进的EM算法即Monte Carlo EM算法(MCEM)的一个简单例子(The parameters in the mixed Gaussian model are estimated by EM algorithm An improved EM algorithm is a simple example of the Monte Carlo EM algorithm (MCEM))
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)
三种传统背景减除法
- 使用帧差法、均值法和混合高斯模型对背景进行去除、提取前景信息。来源于2017年研究生数学建模比赛D题。(The background information is removed and the foreground information is extracted by frame difference method, mean value method and hybrid Gauss model. D graduate from the 2017 mathematical modeling
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法,有背景模型算法,混合高斯模型算法,帧差法,经典的CB法,所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
OpenCVGMMComment
- OpenCV库中对于混合高斯模型我自己的注释,通俗易懂,并且与论文相结合,附上了例程(OpenCV GMM comment by zyx)
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.)