中文说明：meanShift,均值漂移，在聚类、图像平滑、分割、跟踪等方面有着广泛的应用。meanShift这个概念最早是由Fukunage在1975年提出的，其最初的含义正如其名：偏移的均值向量；但随着理论的发展，meanShift的含义已经发生了很多变化。如今，我们说的meanShift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，然后以此为新的起始点，继续移动，直到满足一定的结束条件。
English Description：
MeanShift, mean shift, cluster, smoothing, image segmentation and tracking, and so has a wide range of applications. MeanShift this idea was first proposed by Fukunage in 1975, its original meaning as its name: the mean value of the offset vector, but with the development of theories, meanShift meaning has undergone many changes. Now, we say that the meanShift algorithm, generally refers to an iterative step, that is, to calculate the current point of the offset value, and then as a new starting point, continue to move until the end of certain conditions.