搜索资源列表
Matlab-Fitting-Functions
- 附件中的m代码包括了一系列的拟合函数,这些函数通常的输入是概率分布的样本。还有最大似然估计仿真器、最小平方仿真器、混合高斯分布估计的EM算法、
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!
GaussBackGroundModel
- 最基本的混合高斯背景建模matlab源代码,本人用于火灾烟雾检测的毕设代码,已运行成功,很好的检测运动目标的算法。-Effective Gaussian mixture learning for background model to detection moving goal.
GMM
- 本代码建立高斯混合模型(高斯多模型)(GMM),将其用于计算机视觉领域的视频目标检测/视频监控/运动检测/运动目标检测/视频目标跟踪等相关应用中。-This code sets up Gaussian mixture model(Gaussion Mixture Model, GMM) with image sequences for the research and application field of computer vision, using GMM for visual objec
EM
- EM算法介绍及Matlab演示代码(一维和多维高斯混合模型学习算法)-Introduction of EM algorithm and Matlab codes that implement the algorithm
GaussBackGroundModel
- 混合高斯背景建模的实现程序,Matlab编写,运算速度极慢,但可作为理解算法的示例代码.系作者参加SJTU PRP项目时所写。此代码已在原项目中不再使用。-The realization of Gaussian mixture background modeling procedure, Matlab writing, computing speed is very slow, but the understanding of the algorithm can be used as sampl
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
mtest_new5_simple1
- matlab实现的对样本视频的混合高斯模型的检测代码-Sample video detection code Gaussian mixture model
mixture_of_gaussians
- 基于混合高斯模型的背景减除算法实现。matlab代码。-Gaussian mixture model-based background subtraction algorithm. matlab code.
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
MIXGUASS
- 基于OPENCV VC 的混合高斯模型函数代码-OPENCV VC MIXGUASS
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
GMM_3
- 自己改进的混合高斯代码,废了好几天时间,希望大家有用,共同学习-Improved Gaussian Mixture own codes, learn together
GMM
- 混合高斯算法,用opencv3实现,用于对运动目标进行检测 效果还算是不错的,代码通俗易(Hybrid Gauss algorithm)
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)
GaussianMixtureModel_EM-master
- 用于混合高斯背景建模 MATLAB代码(The mixed Gauss background modeling MATLAB code)
mixedGauss
- 混合高斯matlab实现, 具体见代码(mix gauss)
GMM
- 高斯混合聚类的python实现代码,里面有data的demo(Python implementation code of Gauss mixed clustering)
GMM_test1
- 高斯混合模型的前景提取代码,本人测试可用。(Gauss mixture model of the foreground extraction code)
3-基于高斯混合模型的语音识别
- 基于高斯混合模型的语音识别,有完整的数据集和matlab代码(Speech recognition based on Gaussian mixture model, complete data set and matlab code)