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BK_Gauss混合高斯背景
- 本算法基于混合高斯模型编程，采用opencv库，能够运行
单高斯目标检测
- 基于OPENCV的单高斯模型，通过摄像头获取视频帧，得到背景图片。
单高斯背景建模opencv
- 单高斯背景建模opencv
基于openCV得高斯背景模型提取。需要openCV，内置测试视频
- 基于openCV得高斯背景模型提取。需要openCV，内置测试视频
混合高斯背景建模用于检出背景
- 混合高斯背景建模用于检出背景，并提取前景，在OPENCV环境下操作进行的。是数字图像处理领域不可缺少的一种处理方式。OPENCV库里含有的函数在数字图像中的作用都是不可获取的，用起来简单又便捷，建议OPENCV从头认真学起-Gaussian mixture background modeling for the detection of background and foreground extraction, OPENCV environment in the operation. The f
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
backgroundSubtraction_v0
- 基于graphcut的背景建模程序，其中具备阴影去除功能，建模时对rgb三个颜色通道进行了高斯模型训练。程序需要OpenCV 1.0 的支持。-This is a C implementation of background subtraction given a set of background frames as a training set.The background model is per-pixel RGB space Gaussian, assuming independenc
DIP
- 图像的操作，及视频流的相关操作，基于opencv，运动目标检测，中值滤波，高斯背景模型，混合高斯模型-The operation of the image, and video streams related operations, based on the opencv, motion detection, median filtering, Gaussian background model, Gaussian mixture model
gaussbgfg
- 高斯背景建模核心代码,在vs+opencv下使用-the core code of Gauss mixture modeling.
Gaussian
- OPENCV 的 高斯背景提取，可以方便的进行背景建模与分析-Extraction of the Gaussian background OPENCV, to facilitate the conduct of background modeling and analysis
Gauss
- 高斯背景建模，利用opencv进行处理，并且提取出前景-Gaussian background modeling, to deal with the use opencv, and the prospect of extracting
opencv
- 压缩包包括以下几个功能实现的opencv源代码：canny边缘检测算法实现、高斯背景建模、背景差分法实现边缘检测、图像颜色分布直方图的相关处理、人脸识别算法的实现。-Compressed package includes the following functions to achieve the opencv source code: canny edge detection algorithm, Gaussian background modeling, background subtrac
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.
singalframe
- 车辆视频检测，采用高斯背景更新方法，基于OPENCV的图像视频检测算法-Vehicle video detection, the Gaussian background updating method, based on video image detection algorithm OPENCV
OPENCVgmm_modeling
- 基于OPENCV高斯背景建模源码，可实现初步的运动目标检测-OPENCV Gaussian background modeling based on source code, enabling the initial detection of moving targets
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)
改进的高斯混合背景模型的实现
- 利用改进的高斯混合模型对前景目标的提取有较好的作用，这是基于OpenCV的C++程序，请安装OpenCV库进行调试(The improved Gauss mixture model has a good effect on foreground target extraction. This is a C++ program based on OpenCV. Please install OpenCV library for debugging)
单高斯程序
- 单高斯算法用于静态背景下显著目标的拾取该方法较为简单，也能应对静态背景下的目标拾取。(Used for picking up salient objects in static background)
高斯处理视频并跟踪运动做前景背景分割
- 采用opencv 高斯处理视频并跟踪运动做前景背景分割(Gauss processes video and tracks motion to do foreground and background segmentation.)
Experient4
- 利用opencv高斯混合背景建模，并进行开闭运算滤波， 提取视频监控中的车辆(Using opencv Gaussian mixture background modeling and opening and closing operation filtering to extract vehicles in video surveillance)