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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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ua University, in 2002 publi
this document, including the Mont
A program of curve fitting based
Bayesian Filter. Bayesian (Bayesi
a target tracking system MATLAB s
cubic spline curve fitting This i
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this code is knows Mean Shift algorithm
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mean shift算法提取图像边缘和图像分割-mean shift algorithm for image edge extraction and image segmentation
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基于Mean_shift的运动目标跟踪算法,可实现高速公路车辆的检测-Moving Target Tracking Based on Mean_shift algorithm can achieve highway vehicle detection
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本程序是一个采用均值位移向量的方法进行的运动跟踪算法-This procedure is a displacement vector by the method of the mean motion tracking algorithm
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A general technique for the recovery of signicant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (includi
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各类聚类算法程序包,包含各种经典的聚类算法,例如:k-mean聚类等-Various types of clustering algorithm package, contains a variety of classic clustering algorithms, such as: k-mean clustering, etc.
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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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分割算法
1.mean shift 的迭代过程只做了一次(为了简单)
2.对图像中的某一点进行平移时,只考虑了距离它小于2*hr的点,而不是图像中所有的 点。
3.实验过程中只用到了gauss核,虽然提供了method的选择,但在进行值域加权时只用 到gauss核,如果需要请自己改正。-mean shift algorithm
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The mean shift tracker algorithm was implemented using matlab.
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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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实现mean shift 均值漂移的基本的MATLAB算法
带有部分注释-Mean shift to achieve the basic mean shift algorithm with some of the MATLAB Notes
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mean-shift algorithm matlab code
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EM algorithm mean shift algorithm for image segmentation, at the same time have demo program with the ultimate view of segmentation results
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:Mean—shift算法是一种非参数密度估计算法,可以实现快速的最优匹配,在目标的实时跟踪领域起着非常
重要的作用。为了有效的将Mean—shift算法应用到灰度图像中,采用了以方向直方图建立目标模型的策略,提出了在灰
度图像中以Mean—shift为核心的目标跟踪算法。实验结果表明,该算法具有不受光照条件影响的优点,在低对比度的情
况下仍能实现稳定、实时的跟踪目标。-: Mean-shift algorithm is a nonparametric density estimat
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Mean shift clustering algorithm is trying to help us for data set points clustering.
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很好的关于均值漂移的代码,对于深刻理解均值漂移的滤波算法很有帮助。-The code on the mean shift, for a deep understanding of mean shift filtering algorithm helpful.
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The goal of segmentation is to simplify and change the representation of an image into something that is more meaningful and easier to analyze. Here similar looking pixels are grouped together for efficiency of further processing. In segmentation a l
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Mean shif algorihtm for tracking objects
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