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Journal Article Automatic Target Detection using Binary Template Matching
Cited 17 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Dong-San Jun, Sun-Gu Sun, HyunWook Park
Issue Date
2005-03
Citation
Optical Engineering, v.44, no.3, pp.1-7
ISSN
0091-3286
Publisher
SPIE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1117/1.1869997
Abstract
This paper presents a new automatic target detection (ATD) algorithm to detect targets such as battle tanks and armored personal carriers in ground-to-ground scenarios. Whereas most ATD algorithms were developed for forward-looking infrared (FLIR) images, we have developed an ATD algorithm for charge-coupled device (CCD) images, which have superior quality to FLIR images in daylight. The proposed algorithm uses fast binary template matching with an adaptive binarization, which is robust to various light conditions in CCD images and saves computation time. Experimental results show that the proposed method has good detection performance. © 2005 Society of Photo-Optical Instrumentation Engineers.
KSP Keywords
Adaptive Binarization, Automatic Target Detection, Battle tanks, CCD image, Charge coupled device, Forward-looking, Light conditions, Optical instrumentation, Template matching, computation time, detection performance