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
fDate :
Oct. 30 2013-Nov. 2 2013
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;
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
Conference_Location :
Jeju
Print_ISBN :
978-1-4799-1195-0
DOI :
10.1109/URAI.2013.6677399