Target tracking in infrared imagery using weighted composite reference function-based decision fusion

被引：49

作者：

Dawoud, A ^{[1
]}

Alam, MS

Bal, A

Loo, C

机构：

[1] Univ S Alabama, Dept Elect & Comp Engn, Mobile, AL 36688 USA

[2] Rotoflex Int Inc, Mississauga, ON L6L 5K4, Canada

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2006年 / 15卷 / 02期

关键词：

decision fusion; forward-looking infrared (FLIR); target tracking (TT); weighted composite reference function (WCRF);

D O I：

10.1109/TIP.2005.860626

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a novel decision fusion algorithm for target tracking in forward-looking infrared image sequences recorded from an airborne platform. An important part of this study is identifying the failure modes in this type of imagery. Our strategy is to prevent these failure modes from developing into tracking failures. The results furnished by competing ego-motion compensation and tracking algorithms are evaluated based on their similarity to a target model constructed using the weighted composite reference function.

引用

页码：404 / 410

页数：7

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