搜索资源列表
gaussianTest
- 代码为用高斯背景建模提取视频中移动的物体，使用VS+OpenCV2-Code for the extraction of moving objects in video using Gaussian background modeling, using VS+OpenCV2.4.4
test4
- 单高斯背景建模方法 检测视频中的运动物体 配置环境vs2012+opencv2.0-Vs2012+opencv2.0 moving object configuration environment single Gauss background modeling method detection in video
meanshift
- 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
Directshow
- Directshow单高斯背景建模源程序-Directshow single Gaussian background modeling source
background
- 使用帧差法进行视频背景提取，高斯背景建模。 serendra背景更新，用第一帧做背景进行更新-Video background extracted using frame difference, Gaussian background modeling. serendra background updating, with the first frame to do a background update
bg_SingleGaussian
- matlab 单高斯背景模型 读取本地视频（avi)文件，并实时显示前景图像，运行速度可以达到5帧每秒-matlab single Gaussian background model
MOG
- 利用opencv工具包实现混合高斯背景建模，可完成实时的背景抓取-Opencv toolkits use Gaussian mixture background modeling, to be completed in real-time background crawl
loci
- 实现用帧差法画质心轨迹 高斯背景建模 可以运行的程序 opencv-Picture frame difference method implemented by the loci of Gaussian background modeling
gaussion_dec
- 采用高斯背景建模方法实现动态背景下运动目标的检测，能够适应一定的背景变化-Gaussian background modeling method to detect moving targets achieved under the dynamic background, able to adapt to certain changes in background
111111111
- 基于opencv的混合高斯背景建模，可对视频中车辆进行运动检测-Gaussian mixture background modeling, can be a vehicle for video motion detection
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
- 针对摄像机固定下的复杂背景环境，对采集到的视频图像的图像数据用混合高斯背景建模方法实现前景/背景分割，实现运动目标检测和跟踪。在进行前景检测前，先对背景进行训练，对图像中每个背景采用一个混合高斯模型进行模拟，每个背景的混合高斯的个数可以自适应。然后在测试阶段，对新来的像素进行GMM匹配，如果该像素值能够匹配其中一个高斯，则认为是背景，否则认为是前景。由于整个过程GMM模型在不断更新学习中，所以对动态背景有一定的鲁棒性。最后通过对一个有树枝摇摆的动态背景进行前景检测，取得了较好的效果。-For c
Desk3234top
- 【谷速软件】高斯背景建模 可以做为参考使用 -[Valley] Gaussian background modeling speed software can use as a reference
MOG
- 使用Opencv实现的混合高斯背景建模，能够对图像的前景和背景进行分割。-Gaussian mixture background modeling using Opencv achieved, it is possible to image segmentation of the foreground and background.
mixture_gaussians
- 基于混合高斯背景模型的建模，用于视频运动区域提取，很有用的代码，希望对学者有所帮助-Modeling of mixed Gauss background model based on, for video motion region extraction, very useful code, and I hope to help scholars
Gassainmotiondect
- 基于OpenCV的高斯背景模型检测，检测效果比较好-OpenCV based on Gaussian background model of testing, test results were quite good
Per_Gauss_Q_U_test
- 表述一个高斯过程的传递，用于随机共振理论的研究 随机共振在高斯背景下的信号检测-Expression of a gaussian process, used in the study of the theory of stochastic resonance of stochastic resonance in the context of gaussian signal detection
GAUSS
- 读入视频后，高斯背景建模代码的 代码 实现流程-After reading the video, Gaussian background modeling code, code flow
GMMM
- 此文主要简单介绍高斯背景建模的方法，并对opencv的源代码做分析，有一定的参考价值。-This article mainly introduces gaussian background modeling method, were reviewed and opencv source code analysis, has the certain reference value.
sy5
- 改进的混合高斯背景模型，用于检测运动目标，能够有效的提取前景-Improved gaussian mixture background model, used to detect moving targets, and can effectively extract prospect