DocumentCode :
2612473
Title :
Robust automatic target recognition in second generation FLIR images
Author :
Nair, Dinesh ; Aggarwal, J.K.
Author_Institution :
Comput. & Vision Res. Center, Texas Univ., Austin, TX, USA
fYear :
1996
fDate :
2-4 Dec 1996
Firstpage :
194
Lastpage :
201
Abstract :
In this paper we present a system for the detection and recognition of targets in second generation forward looking infrared (FLIR) images. The system uses new algorithms for target detection and segmentation of the targets. Recognition is based on a methodology far target recognition by parts. A diffusion based approach for determining the parts of a target is also presented here. Experimental results on a large database of FLIR images validate the robustness of the system, and its applicability to FLIR imagery obtained from real scenes
Keywords :
computer vision; image recognition; infrared imaging; radar tracking; target tracking; diffusion based approach; forward looking infrared images; robust automatic target recognition; second generation FLIR images; target detection; Bayesian methods; Computer vision; Image generation; Image recognition; Image sensors; Layout; Object detection; Robustness; Target recognition; Weapons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 1996. WACV '96., Proceedings 3rd IEEE Workshop on
Conference_Location :
Sarasota, FL
Print_ISBN :
0-8186-7620-5
Type :
conf
DOI :
10.1109/ACV.1996.572055
Filename :
572055
Link To Document :
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