ETRI-Knowledge Sharing Plaform

ENGLISH

성과물

논문 검색
구분 SCI
연도 ~ 키워드

상세정보

학술지 Automatic Target Detection using Binary Template Matching
Cited 17 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
전동산, 선선구, 박현욱
발행일
200503
출처
Optical Engineering, v.44 no.3, pp.1-7
ISSN
0091-3286
출판사
SPIE
DOI
https://dx.doi.org/10.1117/1.1869997
협약과제
05MR3100, 통방융합 환경에서의 유비쿼터스 콘텐츠 서비스 기술 개발, 홍진우
초록
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 제안 키워드
Adaptive Binarization, Automatic Target Detection, Battle tanks, CCD image, Charge coupled device, Forward-looking, Light conditions, Optical instrumentation, Template matching, computation time, detection performance