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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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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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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
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高斯混合模型的背景提取,目标检测算法的几篇论文!对于理解和研究高斯模型有很大帮助!-Gaussian mixture model for background extraction, several papers in the target detection algorithm! For the understanding and study of the Gaussian model of great help!
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