搜索资源列表
stauffer-mog-
- stauffer的经典的混合高斯模型算法描述，适合做行为检测的人使用。-stauffer the classical Gaussian mixture model algorithm descr iption, suitable for people who use behavior detection.
GMM
- 高斯混合模型，有详细的说明，而且有程序,希望下载，很有帮助的！-GMM including explanation and programs
motion3
- 基于混合高斯模型的多目标跟踪算法，对背景图像建立混合高斯模型，实时更新高斯模型，达到更新背景的目的。-Gaussian mixture model-based multi-target tracking algorithm, Gaussian mixture model to establish the background image, real-time updates Gaussian model, to achieve the purpose of updating the backgr
MIXGUASS
- 基于OPENCV VC 的混合高斯模型函数代码-OPENCV VC MIXGUASS
demo
- 稳健点集配准的高斯混合模型程序。可用于轮廓提取后的图像配准。-Robust point set registration process Gaussian mixture model. After the contour extraction can be used for image registration.
gmm
- 可以从摄像头采集实时监测的混合高斯模型算法-Collected from real-time camera monitoring of Gaussian mixture model algorithm
trafficGmmjiazao
- 给一段视频加噪声，并通过混合高斯模型提取背景，可以验证混合高斯模型对噪声的鲁棒性！有注释！-To add a video noise, and Gaussian mixture model by extracting the background, you can verify the Gaussian mixture model robustness to noise! A comment!
OpenCV1
- OpenCV1.0混合高斯模型注释及说明 通过代码的形似让大家进一步的了解opencv1.0的高斯模糊的含义效果-opencv function of knowledge is mainly related to the application we want to have some help
EM
- 利用Matlab编程验证用EM算法估计的高斯混合模型的相关参数的性能。-Validate the use of Matlab programming estimated using EM algorithm for Gaussian mixture model parameters related to the performance.
mixture_of_gaussians
- 一种混合高斯模型方法提取光流的matlab源程序-mixture of gaussians
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
gmms
- 基于混合高斯模型的目标检测，静止摄像机下的视频序列-Gaussian mixture model-based object detection, static camera video sequence under
GMM
- 无监督混合高斯模型（GMM）的EM估计，含两篇IEEE论文的源码-This is a set of MATLAB m-files implementing the mixture fitting algorithm described in the paper M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", IEEE Transaction on Pattern Analys
object-detect-and-recogonise
- 以混合高斯模型为基础，利用背景差分法获得目标图像并有阴影检测的方法进行目标检测-The Gaussian mixture model based on the use of the background difference method to obtain the target image and a shadow detection method for target detection
mixture_of_gaussians
- 完整的混合高斯模型，能够很好的尽力背景模型-Complete Gaussian mixture model, very good to try to background model
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
Gaussion
- 混合高斯模型原理，以及OpenCV实现的源代码，以及注释-Gaussian mixture model principle, and the realization of the source code
mytrack
- 利用混合高斯模型实现运动目标的初步监测，并利用HSV模型进行阴影滤除-Use mixgaussian model to detect moving object. and use the model of HSV to remove shadow
beijin
- 背景建模，基于改进混合高斯模型的背景建模-Background modeling, background modeling based on the improved Gaussian mixture model
guass
- matlab中可以运行的混合高斯模型，用于运动检测，提供了一个基本的程序框架，各种改进算法可以基于本程序进行-matlab can run Gaussian mixture model for motion detection, provides a basic framework of the program, various improvements to the algorithm based on the Program.