• 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