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利用OPENCV來實現高斯混合模型的背景相減
- 利用OPENCV來實現高斯混合模型的背景相減，可看到當前影像、前景及背景-OPENCV to achieve using GMM background subtraction, we can see the current image, foreground and background
concodebook
- 码本模型背景建模 很好的检测运动物体 对初学者有帮助-The code model background modeling moving object detection is very good help for beginners
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
CG11
- 基于高斯的背景建模，更改文件路径，载入AVI视频，运行，出现3个窗口，分别为视频、背景模型和前景-gmm
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.
detectingmovingtarget
- 本代码可以实时更新背景，建立背景模型，从而检测出视频窗口的目标运动物体-This code can be updated in real time background, background modeling, which aim to detect moving objects in video window
yundongjiance
- 运动视频的背景建模与运动物体的检测，包含混合高斯模型和帧差法检测运动物体。使用opencv编写-failed to translate
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)
moving-object-detection-method-
- 针对视频监控系统的运动目标检测部分,介绍了以OpenCV为平台,以背景减法与帧差法为基础的检测方法。它以背景减法建立和更新背景模型,利用感兴趣区域的设置提高实时性,引入修正的大津法自适应阈值改善二值化效果,并以帧差法为补充降低虚报率及光照变化的影响。实验表明,该方法可以快速有效地对运动目标实施报警。-OpenCV-based moving object detection method and application of some of the articles I read, I feel
motion-detection-techniques
- 研究了基于混合高斯模型的运动目标检测技术,在分析了混合高斯模型的基本原理的基础上,使用了一种改进的混合高斯模型更新算法.在Visual C++6.0中利用OpenCV完成了相关算法,成功地提取出了运动目标和实验场景的背景,验证了该改进的混合高斯模型更新算法的可行性-OpenCV-based motion detection techniques I have read some articles, I feel you can, share
CvGaussBGModel
- opncv实现高斯混合模型，背景、前景检测-opncv Gaussian mixture model to achieve
vs_gauss
- 混合高斯模型，可用于opencv2.2版本，并且改善了不能显示背景的缺点-Gaussian mixture model can be used to opencv2.2 version, and improve the shortcomings can not display the background
GaussDetect
- 基于高斯混合运动背景模型的运动目标检测和跟踪源程序-Moving target detection and tracking the source of the background model based on Gaussian mixture motion
guassian
- 混合高斯背景模型，背景差法，检测运动目标，环境VC2008，Opencv，前景与背景分开显示-Gaussian mixture background model background subtraction method to detect moving targets
av-background
- 初始化 统计背景模型，用背景差法提取前景图像，并使得背景不断刷新-First initialized, statistical background model, background difference to extract foreground and background model constantly refreshed
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
GaussianBackground
- 高斯混合背景模型的一个简单示例，采用的是opencv2.4.8以上版本，简单易懂，适合新手学习-Gauss mixed background model of a simple example, the use of more than opencv2.4.8 version, easy to understand, suitable for beginners to learn
背景差GMM
- opencv，vs2010 利用混合高斯模型，得到运动前景，与静态背景(Opencv and VS2010 use hybrid Gauss model to obtain motion foreground and static background)
BackGround-Fore-Detect
- 包含一些常见的运动目标检测算法，有背景模型算法，混合高斯模型算法，帧差法，经典的CB法，所有源码皆可运行。(This package include some common Moving Object Detection algorithm.Such as the BgModel,CodeBook and Gaussian-mixture-model.)
maben
- 利用码本模型作为背景模型，对视频中的目标人物进行检测。(By using the codebook model as the background model to detect video targets.)