计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (17): 243-245.DOI: 10.3778/j.issn.1002-8331.2010.17.069

• 工程与应用 • 上一篇    下一篇

Mean Shift目标跟踪核函数宽度的自适应调整

付 勇,何明一,刘 超   

  1. 西北工业大学 电子信息学院 信息获取与处理陕西省重点实验室,西安 710129
  • 收稿日期:2008-12-08 修回日期:2009-03-03 出版日期:2010-06-11 发布日期:2010-06-11
  • 通讯作者: 付 勇

Adaptive adjustment of kernel bandwidth for Mean Shift object tracking

FU Yong,HE Ming-yi,LIU Chao   

  1. Shaanxi Key Lab of Information Acquisition and Processing,School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710129,China
  • Received:2008-12-08 Revised:2009-03-03 Online:2010-06-11 Published:2010-06-11
  • Contact: FU Yong

摘要: Mean Shift算法无需穷尽搜索就可快速定位目标,因此被广泛应用于实时性要求较高的目标跟踪领域中。但传统Mean Shift算法的核函数宽度,也即跟踪窗口是固定的,不能适应目标大小变化,定位精度低。针对该问题,提出一种目标尺度度量方法,并应用于Mean Shift算法中,实现核函数宽度随着目标大小变化而自适应调整,实验仿真结果表明改进后的算法能很好地跟踪目标大小的变化,跟踪效果很好。

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

中图分类号: