搜索资源列表
GMM
- 本混合高斯模型是基于opencv的,利用了系统自带的检测函数,检测效果较好.欢迎切磋!
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
lhgcxgmm.rar
- 自己采用opencv编写的程序，该程序主要实现运动目标的检测，采用背景减法里面的GMM混合高斯模型,Opencv prepared to adopt its own procedures, the procedures for major sports achieve target detection using background subtraction inside GMM Gaussian Mixture Model
GMM_opencv.rar
- 用OpenCV实现的GMM背景建模，自己写的，一直在使用,Background modeling based on GMM(Development Environment: VC, OpenCV)
VTraffic(thread_no_leak)
- VC6.0+opencv环境下运动检测的实例，使用了帧差法、GMM方法等，可以对比不同建模方法的效果-VC6.0+ opencv environment, motion detection example, using the frame difference method, GMM methods, you can compare the effect of different modeling methods
GMM-modeling-and-EM
- 介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法-Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm
gmm
- C++和opencv相结合的关于图像中高斯建模的程序。-C++ and opencv combination of Gaussian model on the image of the procedure.
GMM
- 混合高斯模型做的视频跟踪系统，具有良好的跟踪效果-Gaussian mixture model to do a video tracking system, has a good tracking results
C-code-of-GMM
- OpenCV中，利用C语言写的GMM模型的代码。-OpenCV, the use of the GMM model code written in C language.
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.
GMM
- 这个是使用Opencv来做模式识别的一个程序，调用opencv里面的高斯混合模型-This is to use Opencv to do a pattern recognition program, call opencv inside the Gaussian mixture model
GMM
- 是opencv 混合高斯模型的原函数，并进行了修改可以实现前景提取并进行背景建模-opencv GMM
GMM
- 基于混合高斯背景建模的目标运动意图分析,通过混合高斯背景建模进行前景提取，自己写高斯模型，并非通过OPENCV函数库-motion detection based on GMM method
OpenCV-Gaussian-model-n
- OpenCV 基于混合高斯模型GMM的运动目标检测-OpenCV based on Gaussian mixture model GMM moving target detection
background-update-opencv
- 基于混合高斯的背景更新,并保存所获得的前景、背景图片 ，开发环境为Opencv2.3+vs2010-background update by GMM
GMM
- 高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground 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)
Gmm
- 高斯混合模型,利用Ｃ++ OEPNCV来完成(This is a GMM model using C++ opencv to deal with it)
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)
gmm
- 基于高斯混合模型的运动目标检测，opencv平台，直接可用(Moving target detection of Gauss mixed model)