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gauss.混合高斯背景建模算法
- 混合高斯背景建模算法，包含了阴影消除方面的一些处理。,AppWizard has created this gauss application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application.
Gaussian-mixture-model-algorithm
- 完整的背景混合高斯建模的程序，很不错，很好用-Gaussian mixture model algorithm
Gauss
- 基于OpenCV的混合高斯背景建模源代码-Gaussian mixture background modeling based on OpenCV source code
GMMUD
- 用混合高斯模型对背景进行建模，从而提取背景-update background
gaosi1(1)
- 高斯混合模型进行背景建模，实时获取摄像头的视频进行运动目标检测-Gauss mixture model for background modeling, real-time detection of the video camera is used for moving target acquisition
opencv
- 运用高斯混合背景法对背景建模的背景差分法运动目标检测。-Background method using Gaussian mixture background modeling background subtraction method to detect moving targets.
gsbg
- 混合高斯背景建模，单高斯背景建模，人脸检测，人眼检测，希望能够有所帮助-mixture gausion back model,angle gausion back model, face detection, eye detection
GMM
- 混合高斯背景建模,检测效果很好，拖尾现象几乎没有。-background modeling
dangaosi
- 单高斯模型是一种图像处理背景提取的处理方法，适用于背景单一不变的场合，其他如混合高斯模型等方法都是对单高斯模型的扩展，单以单高斯模型最为简便，而且采取参数迭代方式，不用每次都进行建模处理。-Single Gaussian model is an image processing method for processing background extraction, suitable for constant background single occasion, other methods s
0876cf28-2900-4b43-b045-5d31446ed586
- 关于学习混合高斯背景建模，其是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景。(Study on the mixed Gauss background modeling, the representation method of pixel sample statistics based on the background, the probability density statistics such as
GaussianMixtureModel_EM-master
- 用于混合高斯背景建模 MATLAB代码(The mixed Gauss background modeling MATLAB code)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)
multiObjectTracking
- 该程序是用混合高斯建模+卡尔曼滤波实现，结果依赖于前景检测效果，结果效果较好，但背景干扰较多。(The program is to use mixed gaussian modeling + kalman filter implementation, the result depends on the foreground detection results, the effect is better, but more background interference.)