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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！
背景减除法-三帧法-高斯背景建模法运动检测-VC
- 背景减除法-三帧法-高斯背景建模法运动检测-VC
background-subtraction
- 背景高斯建模 能够很好的实现车辆的检测，可以用于与其他算法的比较-the Background Subtraction for the vehicle detection
singleGaussianmodel
- 本码源是针对于单高斯模型算法做的运动目标检测，其中实现了背景建模、背景更新和目标检测的步骤实现。-The source code is in the single-Gaussian model for the algorithm to do the moving target detection, in which the realization of the background modeling, background to update and steps to achieve targe
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
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
BackgroundSubtractionLibrary
- 基于混合高斯模型的背景消除 利用混合高斯背景建模进行运动物体检测, 同时引入共轭先验以改进权值更新方程-Gaussian mixture model based on the background to eliminate the use of Gaussian mixture background modeling for moving object detection, while the introduction of conjugate a priori weights to imp
gaussmix
- 混合高斯建模的原文章，英文版，最原始的资料。-Gaussian Mixture Modeling of the original articles, in English, the most primitive information.
detect
- 基于混合高斯建模的运动检测论文包。内含PDF 和NH格式-Gaussian mixture modeling based on motion detection paper bag.
background__modelling
- 高斯模型下背景建模，用于运动目标检测，检测效果明显，希望对大家有帮助-Gaussian model background modeling for moving target detection, test results clearly want to help everyone
mixture_of_gaussians
- 基于混合高斯背景建模的理论思想，实现运动目标检测，检测效果理想-Gaussian Mixture Background Modeling Based on the theory of ideology, to achieve moving target detection, test results are satisfactory
backgroundmodeling
- 运动目标检测，背景建模，高斯背景建模，对初学者很有帮助-Moving target detection, background modeling, Gaussian background modeling, very helpful for beginners
mixGMMmatlab
- 混合高斯建模方法是目标检测中的一种重要方法- mix gauss detection object
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
mixture_of_gaussians
- 这个代码适用于检测运动目标，基于混合高斯建模的运动目标检测。-this code can help you detection some objects，such as car，people，and so on. which based on mixture of gaussians background model
背景建模法
- 介绍当前几种比较常见的背景建模方法，例如高斯，码本，均值等
混合高斯
- 用于车辆检测背景建模 通过混合高斯将前景与北京分离(Vehicle tracking background modeling is used to extract foreground)
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 online. Synchronization of motion d
GMM背景建模c++
- 混合高斯建模用于背景建模，用于背景检测，速度不是很快....C++语言(GMM background dectect)
gaussianBkModelTest
- 采用混合高斯模型，实现对监视背景的建模，有利于下一步运动目标的检测(The mixed Gauss model, modeling of monitoring background, is conducive to the detection of moving target next)