DocumentCode
651146
Title
Public signs detection in subway station images
Author
Kyu-Dae Ban ; Ho-sub Yoon ; Jaehong Kim
Author_Institution
Intell. Cognitive Technol. Res. Dept., ETRI, Daejeon, South Korea
fYear
2013
fDate
Oct. 30 2013-Nov. 2 2013
Firstpage
595
Lastpage
596
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.
Keywords
handicapped aids; image recognition; mobile robots; object detection; transportation; airport passenger terminal; indoor environments; mobile robots; public sign recognition; public signs detection; subway station images; visually impaired persons; AdaBoost; Sign detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location
Jeju
Print_ISBN
978-1-4799-1195-0
Type
conf
DOI
10.1109/URAI.2013.6677399
Filename
6677399
Link To Document