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RunningAvg-without-seletivity
- 此程序的功能是针对图像中的运动目标的检测，程序依照输入视频、建立背景模型、灰度化、两帧相减、检测结果的流程来书写程序。-The function of this procedure is the image of moving target detection, the procedure in accordance with the input video, the establishment of the background model, gray, and two-phase reduc
gauss-backgrounds
- 本程序可以进行视频的动态提取背景，使用的是高斯模型使用前请配置好opencv环境。希望对大家学习人脸检测有所帮助-This procedure can extract the dynamic video background, using a Gaussian model configured before use opencv environment. We would like to learn helpful Face Detection ...
Combination-of-Multiple-Features-for-Object-or-Bac
- 通过组合多种图像特征 ， 实现 了一种新的检测运动物体方法。 一方 面，组合 图像 的颜 色、梯度和纹理特征 ， 利用梯度和纹理信息对亮度变化不敏感的特性，提高运动物体分割的准确性 ；另一方面，使用图切割算法对物体／ 背景进行分割， 在不影响整体分割 结果前提下修 正局部判别错误 的像素点， 分割结果噪声少且稳定性强。 -A novel method is proposed to detect moving objects based on the linear combination of
Image_Bib4
- This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
Bib6
- This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
CvBSLibGMM(GMMbackgroundsubtraction)
- Implementation of background subtraction algorithm using Gaussian mixture model.
cvbgfg_gaussmix
- 利用混合高斯模型进行前景检测的源代码实现，依据的是Stauffer发表的Adapptive background mixture models for real-time tracking.-The prospects for the use of Gaussian mixture model, detection of the source code implementation, based on the Stauffer published Adapptive background mix
cvGaussianBGModelDemo
- Gaussian background model demo
mixture_of_gaussians
- 基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
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.
GenerateString
- To generate string we first have to write a string function. This function is needed for generating the background model. To generate a background model we have to take sequence of pictures. And to take sequence of pictures that with the same name bu
gauss
- opencv中的高斯背景建模，适合初学者，比较不错的学习代码-gauss background model
P_GMM
- 用于背景差分的高斯混合建模，实现运动目标检测，c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
ground_detect
- 基于OpenCv的背景检测，先要建立背景模型，检测在背景下的物体。（用的是均值方差的方法建立背景模型）-Background detection based OpenCv to first build the background model to detect objects in the background. (Using a mean-variance method to establish the background model)
a-multiThread-Model
- 一个多线程编程模型，用于MFC的的后台设计。其包含一个线程池。-A multi-threaded programming model, the background for the design of MFC. It contains a thread pool.
part-background-update
- 使用局部背景更新结合肤色模型来进行运动手势的检测-Background updating using the combination of local color model for the detection of motion gestures
mixture_of_gaussians
- 这个代码适用于检测运动目标，基于混合高斯建模的运动目标检测。-this code can help you detection some objects，such as car，people，and so on. which based on mixture of gaussians background model
GauMM_
- A better version of guassian mixture model for background subtraction and foreground detection, using matlab and c language to implement it.
background1
- 平均法建立背景模型的C实现代码，内有中文说明-Average method to establish eht background model of C code,there is the Chinese explaination.
background2
- 一种中值法和均值法相结合的背景模型的建立，C语言实现-A median algorithm and mean technique combining background model,realized by C language.