Accelerated convergence using dynamic mean shift---Matlab 源码-Dynamic mean shift produces comparable results as the standard mean shift algorithm, but can significantly reduce the number of iterations for convergence and takes much less time.

用mfc编写的mean-shift算法，和重心跟踪算法，可以处理动态目标的跟踪，效果甚佳。-Mfc prepared using mean-shift algorithm, and the focus of the tracking algorithm can handle dynamic target tracking, the effect is very good.

基于mean-shift的动态目标跟踪算法，简单有效，另附图库-Based on mean-shift of the dynamic target tracking algorithm, simple and effective, attach library

提出一种基于区域生长与Mean shift算法相结合的动 态变形手势跟踪算法.该算法在跟踪初始阶段通过帧间差分法对手势中心完成自动初始化,利用区域生长算法采 集手势样本点,并通过Mean shift算法对目标中心进行精确定位.实验结果表明,该方法能够对动态变形手势实现 精确实时的跟踪,可较好地降低算法的时间复杂度,保证运动目标跟踪的稳定性和连续性. -Considering the traditionalMean shift algorithm has the problem o