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Conference Paper Public Signs Detection in Subway Station Images
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Authors
Kyu-Dae Ban, Ho-sub Yoon, Jaehong Kim
Issue Date
2013-10
Citation
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2013, pp.595-596
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/URAI.2013.6677399
Abstract
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 Keywords
Airport passenger terminal, Detection Method, Detection and Recognition, Indoor environment, Mobile robots, Natural images, subway station, visually impaired person