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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
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
Track.rar
- 一个基于Visual C++的跟踪算法(混合高斯),Track demo (GMM)
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
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
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.
gaussmix
- 用于混合高斯的图像建模,可用于图像的分析和理解-For the mixed Gaussian image modeling, can be used for image analysis and understanding
EM_for_classify
- 混合高斯模型EM算法,对数据样本进行归类-EM algorithm by mixture gaussian model, calssify the data samples
IGMM
- 这是一篇经典的论文,基于混合高斯的数学模型应用在视频处理中,进行的移动物体提取-Multi-Gaussian model is the detection of moving targets in a background reduction method, which is achieved using matlab
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
MoG
- 混合高斯建模 matlab版,绝对正确。多多下载,谢谢大家支持-Gaussian mixture modeling matlab version, absolutely correct. A lot of downloading, Thank you for your support
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
gaussmix
- 混合高斯建模的原文章,英文版,最原始的资料。-Gaussian Mixture Modeling of the original articles, in English, the most primitive information.
walkstraight
- 利用K均值聚类的方法实现人体的检测,混合高斯模型建立背景并实时更新-The use of K-means clustering method to achieve the human body detection, Gaussian mixture model to establish the background and real-time updates
混合高斯
- 用于车辆检测背景建模 通过混合高斯将前景与北京分离(Vehicle tracking background modeling is used to extract foreground)