Title :
Robust automatic target detection/recognition system for second generation FLIR imagery
Author :
Zhao, Huaibin ; Shah, Shishir ; Choi, Jae Hun ; Nair, Dinesh ; Aggarwal, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
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 1930 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
Keywords :
image recognition; infrared imaging; target tracking; ATD/R; ATR system; CVRC; FLIR imagery; automatic target detection and recognition; forward looking infrared; low-contrast FLIR images; Bayesian methods; Computer vision; Feature extraction; Focusing; Image generation; Image recognition; Object detection; Robustness; Shape; Target recognition;
Conference_Titel :
Applications of Computer Vision, 1998. WACV '98. Proceedings., Fourth IEEE Workshop on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-8186-8606-5
DOI :
10.1109/ACV.1998.732898
