搜索资源列表
lhgcxgmm
- 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
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 fr a mes as a training set.The background model is per-pixel RGB spac
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
background_gen_c
- 通过读取视频流，基于OpenCV建立背景模型，以用于前景检测-By reading the video stream, based on the OpenCV ，generate background model for the foreground pixels detection
opencvBackgroundExtraction
- 利用opencv 的 高斯模型来进行背景建模，在背景变化不大的情况下工作的不错。最好能有几帧纯粹的背景用于建模，这样效果会更好。-build the background model using Gaussian in opencv. some static background will make it works better
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 upd
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 mo
gao
- 主要介绍了基于（单、多）高斯统计模型的背景获取法-Mainly based on the (single, multi-) Gaussian statistical model to obtain the background of law
LiuMixGauss
- 关于自适应背景提取，是基于高斯模型的，效果很好-On adaptive background extraction is based on the Gaussian model, the effect of good
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 con
delta_bkgr
- 视频流中一种独立更新各个像素点的背景更新方法。基于高斯模型。基于opencv库函数。-Video stream in a stand-alone update all the background pixels to update method. Based on the Gaussian model. Based on the opencv library function.
backmodel
- EM-GMM建立背景模型，用于运动物体检测，侵入检测等-EM-GMM background model set up for moving object detection, intrusion detection, etc.
A-Fusing-Color-and-Gradient-Features-Approach-to-R
- 本文通过融合图像的颜色和梯度特征 ,实现了一种实时背景减除方法。首先融合颜色和梯度特征建立新的能量函数 然后基于图切割算法最小化能量函数 ,并对前景P 背景进行分割 最后使用光流验证前景区域的真实性 ,并更新背景模型。- Based on the fusion of color and gradient features , this paper implement s a novel approach to real-time ba
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
gmm
- 利用混合高斯模型训练视频，获得背景图像，并将背景保存。-training video with GMM model ,then get the background,and store the picture in your computer.
GuassionModel
- 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
gauss_model
- 目前比较流行的智能视频分析里用到的 混合高斯模型算法，可以用来建立背景。-Currently more popular where intelligent video analysis algorithms used in Gaussian mixture model can be used to establish the background.
gaussiangradient
- 是关于高斯混合模型的背景建模程序，是关于opencv改进的，自己编程的程序。-Gaussian mixture model on the background modeling procedure is about opencv improved, their own programming procedures.
background__modelling
- 高斯模型下背景建模，用于运动目标检测，检测效果明显，希望对大家有帮助-Gaussian model background modeling for moving target detection, test results clearly want to help everyone
LiuMixGauss
- 混合高斯模型背景建模，适用于视频跟踪，目标分割。 -GMM background modeling for video tracking, object segmentation.