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 of low tracking accuracy owing to

the background pixels changing in searchingwindow and thatofhigh time complexity led by the updating

ofhand gesturemode,l a dynamic deforming hand gesture tracking algorithm based on the integration of

region growth and Mean shift is proposed in this paper.