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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.
moveboject1.0
- 基于opencv运动目标检测的中值模型，单高斯模型，简单统计模型的检测及监控系统-Opencv moving target detection based on the median model, a single Gaussian model, a simple statistical model of detection and monitoring system
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
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
Shadowtracking
- 前景检测，用于检测视频运动目标，本文用的模型是高斯模型，效果好-foreground detecting
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
YCbCrGauaaModel
- 利用基于YCbCr空间的高斯模型建立背景，并实时更新，通过背景差分法检测出道路中的运动车辆目标，效果较好。-Gaussian model based on the YCbCr space is used to establish the background, updating in real time. Then background subtraction method is used to detect the target of the movement of vehicles in
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
GaussianModelTest
- 基于混合高斯模型的视频图像背景提取，在qt creator环境下实现-Gaussian mixture model-based video image background extraction
KaewTraKulPong
- opencv中混合高斯模型实现方法的参考文献-An Improved Adaptive Background Mixture Model for Real-time Tracking and Shadow Detection
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.)