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这是一篇详细介绍人脸检测与语音驱动口型的文章,其中使用了高斯混合模型采取了无监督聚类的方法,希望对你有用。,This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you.
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利用阴影的灰度特性,在视频序列中去除运动物体所留下的阴影
环境为vc++6.0 ,opencv
去阴影,Use of the shadow of the gray-scale characteristics of video sequences in the removal of moving objects left behind by the shadow environment vc++ 6.0, opencv to shadow
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最大的高斯混合模型似然估计的期望最大化算法-Maximum likelihood estimation of Gaussian mixture model by expectation maximization algorithm
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这个文件包里包含了几乎所有的聚类的工具箱,包含采用混合高斯模型的运动物体检测方面的源代码。-This document contains the bag almost all the clustering of the toolbox, including the use of Gaussian Mixture Model of Moving Objects for testing source code.
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使用高斯混合模型(GMM)模拟模式识别的源代码-The use of Gaussian mixture model (GMM) Analog Pattern Recognition of the source code
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基于高斯混合模型markov树算法的图像分割-Gaussian mixture model based markov tree algorithm for image segmentation. . .
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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
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this program is implementation of gaussian mixture model.
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This can be useful to Understand the Gaussian Mixture Model for Adaptive Background updation
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EM基于高斯混合模型的EM算法,EM基于高斯混合模型的EM算法EM基于高斯混合模型的EM算法-EM-based EM algorithm for Gaussian mixture model
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利用混合高斯模型进行前景检测的源代码实现,依据的是Stauffer发表的Adapptive background mixture models for real-time tracking.-The prospects for the use of Gaussian mixture model, detection of the source code implementation, based on the Stauffer published Adapptive background mix
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GMM Model Gaussian Mixture Models - Algorithm and
Matlab Code-GMM Model!
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Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
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实现基于混合高斯模型的运动目标检测算法的仿真-Achieved based on Gaussian mixture model simulation of moving target detection algorithm
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A common method for real-time segmentation of
moving regions in image sequences involves “background
subtraction,” or thresholding the error between
an estimate of the image without moving objects and
the current image. The numerous approache
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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.
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一维EM算法MATLAB实现,两分支高斯混合模型,均值和方差都不相同。-one dimensino EM algorithm implemented by MATLAB. Estimate the mean and variance of Gaussian Mixture Model with two branches.
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一种基于肤色分割、区域分析和模板分布的彩色图像人脸检测算法.首先对输入的彩色图像利用混合高斯模型和亮度模型进行分割,然后根据人脸五官的结构特征对得到的区域进一步分析处理,获得所有可能的候选人脸.接着构造了一种基于双眼和人脸模板的概率模型并利用其对候选人脸进行最终检测.-Based on skin color segmentation, regional analysis and the template in color images of face detection algorithm. F
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本系统中VIS欠缺的SIFT_VC.lib文件。。。
http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html-This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library
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用于背景差分的高斯混合建模,实现运动目标检测,c++源码可编译执行-Difference of Gaussian mixture for the background model for moving object detection, c++ source code can be compiled implementation
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