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
收藏
页码：262 / 263
页数：2
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