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학술대회 Public Signs Detection in Subway Station Images
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저자
반규대, 윤호섭, 김재홍
발행일
201310
출처
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2013, pp.595-596
DOI
https://dx.doi.org/10.1109/URAI.2013.6677399
협약과제
13IC3100, 인식센서융합 기반 실환경하에서 임의의 사용자 30명에 대해 인식률 99%에 근접하는 사용자의 신원과 행위 및 위치 정보 인식 기술 개발, 윤호섭
초록
It's difficult to find location in indoor environments such as subway station and airport passenger terminal. However, the detection and recognition of public sign make it possible to find out the place to go. Proposed system can help visually impaired persons or mobile robots in unfamiliar places. We propose the detection method of public signs in natural images. Especially, we dealt with several signs in subway station such as numbers, arrows, ticket, elevator, escalator, phone, toilet, and arrows giving the direction of those places. © 2013 IEEE.
KSP 제안 키워드
Airport passenger terminal, Detection Method, Detection and Recognition, Indoor Environment, Mobile robots, Visually impaired persons, natural images, subway station