• DocumentCode
    3563727
  • Title

    Study on stairs detection using RGB-depth images

  • Author

    Murakami, Soichiro ; Shimakawa, Manabu ; Kivota, Kimivasu ; Kato, Takashi

  • Author_Institution
    Adv. Course of Electron. & Inf. Syst. Eng., Kumamoto Nat. Coll. of Technol., Kumamoto, Japan
  • fYear
    2014
  • Firstpage
    1186
  • Lastpage
    1191
  • Abstract
    Many visually impaired people have experienced walk accident, e.g., died due to falling down from station platform, injured on stairs. They need a support to walk safely. So there have been many researches that aim to be helpful for visually impaired to walk themselves in safety. This study aims to develop a walking-support-system that can detect steps and stairs for visually impaired. Previous studies only used depth sensor, such as Kinect or Xtion. That way was not available in outdoors because of sunlight. This paper presents the method that uses RGB-D camera to detect stairs and steps by using RGB images and depth images without regarding indoors and outdoors. The effectiveness of the proposed method will be shown with some results.
  • Keywords
    handicapped aids; object detection; Kinect; RGB-D camera; RGB-depth images; Xtion; depth sensor; stairs detection; visually impaired people; walking-support-system; Cameras; Equations; Floors; Image edge detection; Indoor environments; Mathematical model; Robot sensing systems; Depth sensor; Floor Detection; RGB-D camera; Stairway Detection; Visually Impaired;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2014.7044705
  • Filename
    7044705