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codebook.rar
- 实现了基于码书的运动检测，并有与其他的检测算法做对比，例如MOG，Bayes，三帧差分等。,Codebook based on the realization of the motion detection, as well as with other contrast detection algorithm, such as MOG, Bayes, differential, etc. 3.
BGFG_CODEBOOK
- 基于码书的运动目标检测是和混合高斯模型（MoG，GMM）类似的而简单有效的背景剪除方法，附件是VC++6.0编写的基于码书的运动目标检测，可直接读取摄像头，也可改为读取硬盘视频文件，需安装Opencv1.1-Codebook-based moving target detection and Gaussian mixture model (MoG, GMM) and a similar cut off the background simple and effective method of a
MovDetect
- 试用opencv 实现视频的读取、处理、间接快速，标准华框架-Try video opencv read, process, indirectly, fast, standards-hua framework
MoG
- 混合高斯建模 matlab版，绝对正确。多多下载，谢谢大家支持-Gaussian mixture modeling matlab version, absolutely correct. A lot of downloading, Thank you for your support
4
- Mogre初级教程4实例程序，在窗体中提供添加键盘、鼠标控制的代码-Mogre Tutorial 4 instances of the primary process, in the form provided to add keyboard, mouse control code
BGFG_CODEBOOK
- 基于码书的运动目标检测是和混合高斯模型（MoG，GMM）类似的而简单有效的背景剪除方法，附件是VC++6.0编写的基于码书的运动目标检测，可直接读取摄像头，也可改为读取硬盘视频文件，需安装Opencv1.1，-Codebook-based moving target detection and Gaussian mixture model is (MoG, GMM) and a similar cut off the background simple and effective method
MOG
- 基于高斯模型的运动前景检测代码，非常简单，可直接运行~对初学者有用-foreground detection
CamShift2
- Camshift和MOG结合的目标检测与跟踪算法-An alg of detecting object with camshift and mog
m11
- 混合高斯(Mixture of Gaussian, MOG) 背景建模算法和Codebook 背景建模算法被广泛应用于监控视频的运动目标检测问题, 但混合高斯的球体模型通常假设RGB 三个分量是独立的, Codebook 的圆柱体模型假设背景像素值在圆柱体内均匀分布且背景亮度值变化方向指向坐标原点, 这些假设使得模型对背景的描述能力下降. 本文提出了一种椭球体背景模型, 该模型克服了混合高斯球体模型和Codebook 圆柱体模型假设的局限性, 同时利用主成分分析(Principal compon
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
基于MOG的视频前景检测MixGaussExtractForeground
- 基于MOG的视频前景检测算法，利用OpenCV做前景提取(Video foreground detection based on MixGaussExtractForeground MOG)
Video-Detection-MoG-master
- 视频目标检测，用于检测视频中的运动目标，主要应用于监控视频(Video object detection, which is used to detect moving objects in video, is mainly used to monitor video)