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利用OPENCV來實現高斯混合模型的背景相減
- 利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background
bodymotiondetection
- 学习opencv图像处理中人体目标跟踪的一些很有用的资料，主要是讲camshift,meanshift和高斯混合模型。-Learning opencv image-processing for target tracking in the human body a number of very useful information, mainly speaking camshift, meanshift and Gaussian mixture model.
ga
- 基于混合高斯模型的背景建模方法的实现，用C++语言编写-Gaussian mixture model-based background modeling method of implementation, with C++ language
GMMS
- OPENCV下基于高斯混合模型的图像分割，程序中还有 基于大津法的图像分割和金子塔分割。-OPENCV Based on Gaussian mixture model of image segmentation, the program also includes Otsu method based on image segmentation and the segmentation pyramid.
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
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.
yundongjiance
- 运动视频的背景建模与运动物体的检测，包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
gmm
- 混合高斯算法实现及一些自己对高斯混合模型的理解。-Gaussian mixture algorithm and some experience
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
CvGaussBGModel
- opncv实现高斯混合模型，背景、前景检测-opncv Gaussian mixture model to achieve
cppbgfg_gaussmix2
- 背景建模方法之高斯混合模型，使用到MOG2。算法快，并且可以进行阴影检测。遍历性：对每一个像素进行建模。作者为Z.Zivkovic-The algorithm similar to the standard Stauffer&Grimson algorithm with additional selection of the number of the Gaussian components based on: "Recursive unsupervised learning of fini
HHGSMX
- 本程序是修改过的高斯混合模型，用来实现运动目标检测，效果不错。-This procedure is a modified Gaussian mixture model is used to moving target detection, good results.
GaussDetect
- 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
object-tracking
- 对视频作目标检测跟踪的VC++程序，使用了openCV开源库，包含帧差法、背景估计法、高斯混合模型法以及卡尔曼滤波。可正常运行。-VC++ program for target tracking,based on openCV, incuding multiple algrithms,such as Karlman filter.
GMM
- 使用openCV写的高斯混合模型前景分离作业。-Extract the foreground from video sequence using Gaussian Mixture Model（GMM）with openCV.
rosyGaussModel
- 高斯混合模型实现视频图像的背景和前景的分离。输入为视频文件或者计算机上的摄像头。-Gaussian mixture model the background and foreground of the video image separation. The input video files or computer camera.
gaosi
- 通过建立高斯混合模型用于运动目标检测，将视频帧检测为前景和背景-Target detection through the establishment of Gaussian mixture model for motion video frame detection for foreground and background
GaussianModel
- 基于Opencv的车辆检测和追踪，使用高斯混合模型建模，识别效果好-Vehicle detection and tracking based on opencv
背景差GMM
- opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
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.)