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Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束.
用matlab实现mean shif
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基于meanshift算法最全面的资料收集,是本人长期收集该算法的结晶,里面有均值漂移算法的word文档,PPT资料,基于meanshift的目标跟踪算法(MATLAB),还有相应的文章,下了绝不后悔,将心比心,互惠互利。,Meanshift algorithm based on the most comprehensive data collection, is a long time, I collected the crystallization of the algorithm, whi
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ua University, in 2002 publi
this document, including the Mont
A program of curve fitting based
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mean shift 算法用于目标跟踪,其中有4个文件.-mean shift algorithm for target tracking, including four documents.
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使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
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基于均值漂移算法实现图像的分割,总共带有三个文件,其中两个是两个子程序-Based on mean-shift image segmentation algorithm, with a total of three documents, two of which are the two subroutines
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MeanShift算法在运动人体跟踪MATLAB代码-MeanShift algorithm in MATLAB code tracking of moving body
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IS using mean shift algorithm in matlab.
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Image segmentation using mean shift algorithm in matlab.
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Image segmentation using mean shift algorithm in matlab.
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基于mean-shift算法的动目标跟踪,可以识别目标,并记录动目标的跟踪轨迹,并在窗口显示-Based on mean-shift algorithm of moving target tracking, you can identify the target, moving target tracking and recording tracks,and displayed in the window
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在立体匹配中,经常会用到图像分割,其中均值漂移用得很多,文件中给出了漂移算法的matlab程序实现。-In stereo matching, often used for image segmentation, mean shift which used a lot, the document given shift algorithm matlab program implementation.
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