华侨大学学报（自然科学版）2018，Vol.39Issue(3)：461-466,6.DOI:10.11830/ISSN.1000-5013.201601022
结合特征点匹配的在线目标跟踪算法
Online Target Tracking Algorithm Based on Feature Point Matching
摘要
Abstract
A target tracking algorithm based on feature points matching has been proposed in this paper. Firstly,the method of tracking target in the saliency region can solve target size sensitivity while improving the quality of choosing samples and reducing the effect on the tracker caused by background clutter.Secondly,the target′s scale can be estimated through median flow tracker and feature points matching and the interference point can be rejected by hierarchical clustering,based on these methods,tracker drifting and out-of-plane tracking failing can be resolved effectively.Finally,a simple fast search objectives method based on adaptive scale detector was proposed to accelerate detection speed.Experimental results demonstrate that the proposed algorithm can enhance the tracking robustness of TLD target tracking method effectively and obtain good re-sults on standard data sets.关键词
TLD/目标跟踪/显著性/特征点匹配/聚类Key words
TLD/target tracking/saliency/feature point matching/clustering分类
信息技术与安全科学引用本文复制引用
刘兴云,戴声奎..结合特征点匹配的在线目标跟踪算法[J].华侨大学学报（自然科学版）,2018,39(3):461-466,6.基金项目
福建省科技计划重点项目(2013H0030) （2013H0030）
中央高校基本科研专项(JB-ZR1145) （JB-ZR1145）
