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一种基于SIFT特征的自适应滤波目标跟踪算法
引用本文:杨伟,杨华,柴奇,王黎明.一种基于SIFT特征的自适应滤波目标跟踪算法[J].红外技术,2008,30(7).
作者姓名:杨伟  杨华  柴奇  王黎明
作者单位:电子工程学院,安徽省红外与低温等离子体重点实验室,安徽,合肥,230037
基金项目:安徽省重点实验室基金项目
摘    要:针对目标跟踪过程中目标尺度伸缩和姿态形状的变化引起的目标丢失,以及使用单个模型跟踪机动目标不够理想,提出一种基于SIFT特征的自适应滤波目标跟踪算法.仿真结果表明,该算法在目标机动时,跟踪性能远优于其它特征匹配算法和多模型算法,而且计算量小,能保证跟踪的实时性.

关 键 词:SIFT特征  自适应滤波  机动目标跟踪  尺度伸缩

An Adaptive Filter Model of Object Tracking Method Based on SIFT Feature
YANG Wei,YANG Hua,CHAI Qi,WANG Li-ming.An Adaptive Filter Model of Object Tracking Method Based on SIFT Feature[J].Infrared Technology,2008,30(7).
Authors:YANG Wei  YANG Hua  CHAI Qi  WANG Li-ming
Institution:YANG Wei,YANG Hua,CHAI Qi,WANG Li-ming(Key Lab of Infrared , Low Temperature Plasma of Anhui Province,Hefei Electronic Engineering Institute,Hefei Anhui 230037,China)
Abstract:Aim at the lose of target due to scale-invariant,position change and deformation,as well as dissatisfied single model tracking in the process of target tracking,an adaptive algorithm based on SIFT is proposed.Simulation results show that tracking performance of method in this paper is far better than other feature matching and multiple-model algorithms.Furthermore,the computational load of the proposed method is less,and can ensure the real-time performance in tracking.
Keywords:SIFT feature  adaptive filter  maneuvering target tracking  scale-invariant  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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