搜索资源列表
Compressive_Sensing_for_Background_Subtraction
- 压缩传感用于背景建模的一篇文章，ECCV的文章，有一定的价值。-compressed sensing for background subtraction
dangaosi
- 高斯背景建模,建立但搞死模型，基于Ｃ＋＋编写，绝对超值，行心窝没错的-dan gao si bei jing jian mo it is very usefll ,i think you will love it,it can help you much.you konwn i do it much time. i think it can do much and it is good for you .
GaussBackGroundModel
- 混合高斯背景建模的实现程序,Matlab编写,运算速度极慢，但可作为理解算法的示例代码.系作者参加SJTU PRP项目时所写。此代码已在原项目中不再使用。-The realization of Gaussian mixture background modeling procedure, Matlab writing, computing speed is very slow, but the understanding of the algorithm can be used as sampl
mixture_of_gaussians
- 混合高斯背景建模，利用该方法建立动态视频中运动背景建模，得到较好效果-mixture of gaussian
w4-moving-object-detection
- 此程序是针对视频中的运动目标的检测，程序中包括了背景建模、背景差法等功能的w4背景建模算法。-This procedure is for the video of the moving target detection, process modeling, including the background, the background difference method and other functions of the background modeling algorithm w4.
codebook_Backgroundmodeling
- 用codebook方法进行背景建模（完整版）-Background modeling method by codebook (full version)
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
singleGaussianmodel
- 本码源是针对于单高斯模型算法做的运动目标检测，其中实现了背景建模、背景更新和目标检测的步骤实现。-The source code is in the single-Gaussian model for the algorithm to do the moving target detection, in which the realization of the background modeling, background to update and steps to achieve targe
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
mixture_gaussians
- 实现高斯背景建模，并且提取运动目标。具有良好的适用性-Gaussian background modeling to achieve, and extract the moving target. Good applicability
BGmodel
- 这是利用opencv工具编写的背景建模程序，效果很好，内有视频文件，可直接运行-This is a tool written using opencv background modeling procedure, a good effect, there are video files, can be directly run
bkgrd
- 利用背景建模检测运动物体（openCV)-Detection using background modeling moving objects (openCV)
(1)
- 一些关于视频图像处理中有关背景建模的论文（文件1）-On video image processing in the background modeling papers (paper 1)
(2)
- 一些视频图像处理中关于背景建模的论文（第2部分）-Some deal with video images on the background of modeling papers (Part 2)
(3)
- 一些在视频图像处理中关于背景建模的论文（第3部分）-Video image processing in the context of modeling on the paper (Part 3)
bkgrd
- 利用背景建模检测运动物体。逐帧读取视频，根据帧差法来实现。-The use of background modeling moving object detection. Read video frame by frame, in accordance with the frame difference method to achieve.
beijingjianmo
- 此算法通过背景建模的方法来检测运动物体，效果还不错-This algorithm modeling methodology through the background to detect moving objects, the effect was not bad
Video_Image_Segmentation_Based
- 为了对光线变化的图像进行顺利侵害，提出了一 种利用贝叶斯学习方法来进行视频图像分割的算法，印先在每个像素点处对不断变化的背景建模，同时计算每个像素点 处的颜色直方图，再用这些直方图来表示该像素点处特征向量的概率分布，然后用贝叶斯学习方法来进行判断，以确定在光线缓慢或者突然变化的时候，每个像素点是属于前景还是属于背景。-In order to change the image of light against a smooth, a Bayesian learning approach t
bg_subt_code
- Nonparametric Background subtraction classes非参数视频背景建模的一个类,该方法是目前背景建模中最好的方法之一-Nonparametric Background subtraction classes video background of non-parametric modeling of a class that the method is modeling in the present context, one of the best way
bkgrd
- 基于opencv 利用背景建模检测物体-bkgrd