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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.
gmmPP
- 基于opencv实现的混合高斯背景建模，C++程序-gaussian mixture model for background modeling
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.
blobtrack
- 用混合高斯实现的前景检测系统，基于OPENCV编写-The prospects for achieving mixed Gaussian detection system, based on written OPENCV
cvbgfg_gaussmix
- 混合高斯模型的建立，用vc 实现，内容是.cpp形式，可以移植-Gaussian mixture model, with vc implementation, content. Cpp form, can be transferred
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
MIXGUASS
- 基于OPENCV VC 的混合高斯模型函数代码-OPENCV VC MIXGUASS
detecion2
- 混合高斯背景建模，可以将视频中运动的物体提取出来-Gaussian mixture background modeling
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
mt1
- 基于openCV的混合高斯算法，实现了入侵检测的功能。-OpenCV algorithm based on Gaussian mixture to achieve intrusion detection function.
OpenCV1
- OpenCV1.0混合高斯模型注释及说明 通过代码的形似让大家进一步的了解opencv1.0的高斯模糊的含义效果-opencv function of knowledge is mainly related to the application we want to have some help
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
vs_gauss
- 混合高斯模型，可用于opencv2.2版本，并且改善了不能显示背景的缺点-Gaussian mixture model can be used to opencv2.2 version, and improve the shortcomings can not display the background
Gaussion
- 混合高斯模型原理，以及OpenCV实现的源代码，以及注释-Gaussian mixture model principle, and the realization of the source code
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.)