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基于单高斯模型的运动检测
- 基于单高斯模型的运动检测
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。
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
Background_GMM.rar
- 混合高斯模型,建立背景模型,从而可以分离前景与背景,Gaussian mixture model, background model, which can be separated from foreground and background
GuassionModel.rar
- 基于混合高斯模型的运动目标检测,值得学习,对背景更新相当有效,opencv程序
用高斯模型来进行相似度计算
- 这是一个用高斯模型来进行相似度计算 然后,采用模板匹配的算法实现人脸的检测和定位的。,This is a Gaussian model used for similarity computation and then, using a template matching algorithm of face detection and positioning.
BGFG_CODEBOOK
- 基于码书的运动目标检测是和混合高斯模型(MoG,GMM)类似的而简单有效的背景剪除方法,附件是VC++6.0编写的基于码书的运动目标检测,可直接读取摄像头,也可改为读取硬盘视频文件,需安装Opencv1.1-Codebook-based moving target detection and Gaussian mixture model (MoG, GMM) and a similar cut off the background simple and effective method of a
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
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
- 实现混合高斯模型的聚类算法 利用最大似然估计和最大期望的方法来实现混合高斯模型-Gaussian mixture model to achieve clustering algorithm using the maximum likelihood estimation and the greatest way to achieve the desired mixed-Gaussian model
GMM
- 高斯模型的实现,vc 6.0环境下实现的源代码,对于初学者有很好的借鉴作用-The realization of Gaussian model, vc 6.0 environment to achieve the source code, for the beginners have a good reference
gaussbackground
- 应用高斯模型进行进行建模,具有建立背景速度快,更新准确等特点。-Application of Gaussian model to model, with the establishment of the background of fast, accurate updates.
IGMM
- 高斯模型 -Gaussian model of Gaussian model
mulGMM_matlab
- 多高斯模型是检测运动目标的一种背景消减的方法,matlab实现-Multi-Gaussian model is a moving target detection background abatement methods, matlab achieve
codes
- 这个文件包里包含了几乎所有的聚类的工具箱,包含采用混合高斯模型的运动物体检测方面的源代码。-This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.
gussmodel
- 混合高斯模型建模,对视频中背景进行混合高斯建模,在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment
ObjectExtraction
- 利用混合高斯模型检测到目标,并对运动目标的运动加以分析。文件齐全,欢迎下载-Detection of the use of mixed-Gaussian model to the target, and the movement of moving targets to be analyzed. Complete documents, please download
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
delta_bkgr
- 视频流中一种独立更新各个像素点的背景更新方法。基于高斯模型。基于opencv库函数。-Video stream in a stand-alone update all the background pixels to update method. Based on the Gaussian model. Based on the opencv library function.
MATLAB_高斯模型
- 用高斯模型算法来处理视频,提取前景信息,适合动态背景(Gauss model algorithm is used to process video and extract foreground information, which is suitable for dynamic background)