Robust automatic target detection/recognition system for second generation FLIR imagery

被引：1

作者：

Zhao, HB ^{[1
]}

Shah, S ^{[1
]}

Choi, JH ^{[1
]}

Nair, D ^{[1
]}

Aggarwal, JK ^{[1
]}

机构：

[1] Univ Texas, Dept Elect & Comp Engn, Comp & Vis Res Ctr, Austin, TX 78712 USA

来源：

FOURTH IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION - WACV'98, PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/ACV.1998.732898

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Automatic target detection and recognition (ATD/R) is of crucial interest to the defense community. We present a robust ATD/R system developed at the CVRC at UT-Austin for recognition in second generation forward looking infrared (FLIR) images. An experiment conducted on 1,930 FLIR images shows that this ATR system can achieve recognition with a high degree of accuracy and a low false alarm rate. This demo first presents a brief overview of the whole methodology, then shows the detailed procedures and temporary outputs step by step, by running this ATR system on typical low-contrast FLIR images. Results and examples are presented at the end of the demonstration.

引用

页码：262 / 263

页数：2

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