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- 读入视频，基于中值法和均值法的视频背景建模-Read into the video, modeling method based on the median and mean law video background
GMM
- 高斯混合滤波建模，基于opencv，用于背景建模，前景检测-Gaussian mixture filter modeling, based on opencv, for background modeling, foreground detection
GMM
- 内含visual C++和MATLAB代码，利用高斯呼喝模型进行背景建模，自适应确定高斯分量的个数，由Z.Zivkovic开发，相关文章是 Improved adaptive Gausian mixture model for background subtraction-Containing visual C++ and MATLAB code, the use of Gaussian background modeling feeding model, adaptive determine
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- 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
codebook
- 背景建模 码本 VS2013 + Opencv 2.4.9-VS2012 Opencv 2.4.9 codebook
Gauss
- 背景建模 混合高斯模型 opencv代码和matlab代码-Background modeling Gaussian mixture model opencv code and matlab code
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
main
- 视频车辆识别，通过背景建模的方法分离出运动的前景。-Video vehicle identification, isolated foreground moving through background modeling approach.
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.
Vibe-CPP
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，很简单。-ViBe is a pixel-level video background or foreground detection algorithm modeling, better than several well-known algorithms, hardware memory footprint small, very simple.
guassianmodel
- 对采集的视频图像序列进行基于混合高斯模型的背景建模，随着背景的不断更新，提取出的背景效果越来越好，但该方法不适合背景变化剧烈的场景。-Video capture image sequences based on background modeling Gaussian mixture model, with the background of constantly updated, the extracted background effect is getting better, but th
vibeforpi
- ViBE背景建模算法，从 PC上移植改编，可在嵌入式上运行，效率较高-ViBE background modeling algorithm, coded PC to imbeded.
ViBe_seg
- 基于opencv2.4.5的运动目标检测，利用vibe背景建模方法-moving targets detect based on vibe
RPCA
- 基于低秩矩阵恢复的背景建模的目标检测代码-Based on the recovery of low-rank matrix background modeling target detection code
codebook
- Opencv中的一种运动检测方法，运用背景建模，可以快速识别运动物体在前景中显示出来-Opencv in one motion detection method using background modeling, you can quickly identify the moving object is displayed in the foreground
aver-background
- 利用均值法背景建模，即把每一真的对应像素相加除以帧数，即的背景模型-aver background
nonparametric-background-generation
- 背景建模-非参数背景生成，应用于运动目标检测-Background modeling- nonparametric background generation, used in moving object detection
Video-based-traffic-statistics
- 在整个实现过程中，背景建模是核心，采用基于高斯混合模型的背景建摸方法。-Throughout the implementation process, background modeling is the core, built on the background of GMM touch method.