搜索资源列表
openCV_BGExtract
- 基于openCV得高斯背景模型提取。需要openCV，内置测试视频
OPENCV_GMM
- 基于OPENCV的GMM算法，通过时间推移建立视频图像的高斯混合背景模型，并可有效检测其中的运动目标。
gaosi
- 在OpenCV的cvaux有高斯混合模型函数，其中定义了CvGaussBGModel类用于存放高斯混合模型的各个参数。在编写代码前需要对cvbgfg_gaussmix.cpp和cvaux.h这两个文件做些修改
AVI
- 光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测-moving objective detection matlab
motiondetect
- 基于OPENCV的高斯背景模型下运动目标检测源码-motion detect based opencv
gmmbeijing
- 基于opencv的混合高斯背景模型，用对运动目标的背景提取，可保存背景 -Opencv-based mixture Gaussian background model with the moving target of the background extraction, background can be saved
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.
Gaussian-background
- opencv下写的关于高斯背景的程序，是目标检测的较好的方法，可以构建高斯背景模型，再利用背景剪除法，即可获得运动目标。-procedures the opencv to write on the Gaussian background, is a better target detection method can build the Gaussian background model, re-use background pruning method, you can get a movin
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.
CarTracker
- 基于opencv的车辆检测,采用了高斯背景学习模型，自己实现的，效果不错-car detection based on opencv. The guassian model is used and experiments demonstration promised good results!
gaussian_mixture_model
- opencv中运动目标检测经典算法高斯混合模型源代码及注释-Gaussian mixture model opencv moving target detection classical algorithm source code and Notes
dangaosimexing
- opencv 基于单高斯模型的运动目标检测算法-opencv based on a single Gaussian model of moving target detection algorithm
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
312
- opencv 利用高斯模型对前景进行检测，并且有些滤波算法。-opencv to make picture and use same methods
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!
gao
- 混合高斯模型的图像处理C++程序需要加载opencv头文件-Gaussian mixture model of c++ image processing program needs to be loaded opencv header files
GMM-GMR-v2.0
- 利用混合高斯模型对背景图像进行建模，所谓“混合高斯”的意思就是每个像素都是由多个单高斯分布混合组成的。-Name of the file which the classifier is loaded. Only the old haar classifier (trained by the haar training application) and NVIDIA s nvbin are supported for HAAR and only new type of OpenCV XML ca
Sgs
- 基于opencv的单高斯模型实现物体检测-Achieve object detection based on single Gaussian model opencv
447809
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV()
JGIB
- 混合高斯模型,用于背景建模的程序,使用时请安装OPENCV()