文章基本信息

标题：Enhanced robust phase correlation based sub-pixel feature matching for target motion estimation
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作者：Hongshi Yan ; Jian Guo Liu
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 3B
页码：76-79
出版社：Copernicus Publications
摘要：This paper presents an enhanced robust phase correlation (ERPC) algorithm for sub-pixel feature matching and its application in target motion estimation for aerial video surveillance. The ERPC can cope with very large motion measurement on the one hand and improve the sub-pixel accuracy by entirely avoiding the ill-posed problem of 2D phase unwrapping in 2D fitting technique of phase correlation on the other. The key advantage of EPRC is its robustness and sub-pixel accuracy which are essential for precise target speed measurement. Furthermore, EPRC is solely applied to the certain parts (not to the whole scene) of a scene where the moving targets are detected, which greatly improves robustness and computing speed of the EPRC based target motion estimation. Finally, we introduce our robust camera compensation and moving target detection scheme. With this simple scheme, we are able to efficiently estimate the motions of multiple targets at sub-pixel accuracy
关键词：Enhanced Robust Phase Correlation (ERPC); Sub-pixel Feature Matching; Moving Target Detection; Target Motion ; Estimation