关键词: Mean Shift算法, 目标跟踪, 核函数宽度, 目标尺度

Abstract: Mean Shift algorithm has been widely used in high real-time field of target tracking because it can converge quickly without exhaustive searching.However，the kernel bandwidth of this traditional algorithm is fixed，which can not adapt to the size change of the target or locate accurately.This paper proposes a target-scale method，which measures the scale of the target and applies it to Mean Shift algorithm in order to implement the kernel bandwidth self-adaptation according to the size of the target.The experimental results indicate that the kernel bandwidth can adapt to the size change of the target and the tracking result is improved.

Key words: Mean Shift algorithm, target tracking, kernel bandwidth, target-scale