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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
code.rar
- 视频运动物体检测，采用混合高斯分布建立背景模型及差分方法对背景模型进行更新,Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background 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
Gauss
- 运动跟踪Viual c++ 高斯背景建模-Motion Tracking Viual c++ Gaussian Background Modeling
Gauss_background_construction
- matlab实现的高斯背景建模，同行可以看看学习一下。-Gauss_background_construction
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
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.
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
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
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
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
Tracking_Cars_Using_Singal_Gaussian
- 通过单高斯来建立背景，然后用背景减法来提取情景，并对前景进行跟踪和计数。-We establis the background through the method of singal Gaussian,then use the background substration to get foreground,we are also successed to get the counts of cars and to track the cars.
mixture_of_gaussians
- 基于混合高斯背景建模的理论思想，实现运动目标检测，检测效果理想-Gaussian Mixture Background Modeling Based on the theory of ideology, to achieve moving target detection, test results are satisfactory
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
高斯混合模型GMM-latentSpace-v2.0
- 用于背景建模实现视频运动目标分割 与目标跟踪算法(For background modeling, video moving object segmentation and object tracking algorithm)
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)
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)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征，在线地更新参数和权重，实现运动检测和前景提取的同步进行，即采用混合高斯背景算法进行建模，以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated online. Synchronization of motion d
hunhegaosi
- 混合高斯前景提取。数学建模时编的，测试视频就在包内，可以作为学习交流用，环境2014a的matlab，后有添加形态处理都在注释里。一起学习。有matlab编的vibe程序欢迎交流(Hybrid Gauss foreground extraction. Mathematical modeling of the series, the test video is in the package, can be used as a learning exchange, the environment 2