搜索资源列表
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
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.
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
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
CvGaussBGModel
- opncv实现高斯混合模型，背景、前景检测-opncv Gaussian mixture model to achieve
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
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.
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
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.
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
person-detection
- 采用混合高斯模型和codebook分别进行背景建模，实现行人检测-person detection, GMM and codebook
GMMtest
- 混合高斯模型，用于多模态场景中的背景前景检测，还特意实现了RGB前景目标的显示，用vs2010+opencv2.3.0开发-Used for background modeling, the gaussian mixture model can display the backgrounds, prospects. Can be used for multimodal,
GuassianBackground
- 功能是用混合高斯模型实现视频图像的背景建模！vs2010和opencv实现！-Function is Gaussian mixture model, background modeling video images! vs2010 and opencv realize!
Video-detect
- 目标自动识别与跟踪系统，基于MFC界面和opencv视觉库，采用混合高斯进行目标识别，基于局部颜色直方图模型进行自动跟踪，并实现跟踪框可变，跟踪结果实时显示。-target detection and track system