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BK_Gauss混合高斯背景
- 本算法基于混合高斯模型编程,采用opencv库,能够运行
混合高斯模型
- 经典混合高斯模型,运动目标检测
高斯混合模型原理
- 能了解混合模型的每一步操作
基于混合高斯背景建模算法
- 该代码可以用于实现基于混合高斯背景建模的运动检测,该算法计算量较大,运行时间较长!
code
- 视频运动物体检测,采用混合高斯分布建立背景模型及差分方法对背景模型进行更新-Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
gaussmix
- 用于混合高斯的图像建模,可用于图像的分析和理解-For the mixed Gaussian image modeling, can be used for image analysis and understanding
gussmodel
- 混合高斯模型建模,对视频中背景进行混合高斯建模,在摄像机不动的环境中应用广泛-Gaussian Mixture Modeling of video Gaussian mixture background modeling, at the fixed cameras are widely used environment
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
Background_GMM
- 混合高斯模型,建立背景模型,从而可以分离前景与背景-Gaussian mixture model, background model, which can be separated from foreground and background
GuassionModel
- 基于混合高斯模型的运动目标检测,值得学习,对背景更新相当有效-opencv程序
gauss_model
- 目前比较流行的智能视频分析里用到的 混合高斯模型算法,可以用来建立背景。-Currently more popular where intelligent video analysis algorithms used in Gaussian mixture model can be used to establish the background.
gussmix
- 本程序是对混合高斯模型的改进,从RGB空间转化到HSV空间。运行时要装OPENCV-This program is a Gaussian mixture model improvement, space conversion from RGB to HSV space
matlab_utilities
- 粒子滤波、无迹粒子滤波算法程序,高斯混合模型参数设置等详细代码-Particle filter, unscented particle filter program, Gaussian mixture model parameter settings, and more code
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
mixGuass
- 利用混合高斯模型进行前景提取,能够达到较好的检测结果-mix Guass, objects extracting
EmGm
- 图片配准,点集分类,采用EM方法求解高斯混合模型。(Image registration, point set classification, EM method is used to solve the Gauss mixture model.)
一问 + 二问 VIBE_Code
- 用混合高斯模型进行背景处理,并能过滤微小的扰动,适用于动态背景(Use the mixed Gaussian model for background processing and to filter tiny perturbations for dynamic background)
hs
- Matlib代码,实现了光流法,高斯混合等(Matlib code, to achieve the optical flow, Gaussian mixture and so on)
hunhe
- 采用多个高斯分布的方式来描述背景像素点的特征,在线地更新参数和权重,实现运动检测和前景提取的同步进行,即采用混合高斯背景算法进行建模,以降低动态背景的干扰。(The characteristics of the background pixel are described by several Gaussian distributions, and the parameters and weights are updated onlin
Gaussian Mixture Model Ellipsoids
- 基于2个一维高斯模型组成的多维混合高斯模型,采用Python进行编程(Multidimensional mixed Gauss model based on 2 one-dimensional Gauss models and programming with Python)