• DocumentCode
    2774628
  • Title

    Stairway segmentation using Gabor Filter and vanishing point

  • Author

    Hernández, Danilo Cáceres ; Jo, Kang-Hyun

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
  • fYear
    2011
  • fDate
    7-10 Aug. 2011
  • Firstpage
    1027
  • Lastpage
    1032
  • Abstract
    This paper we are proposing to detect the localization and recognition of an indoor stairway. This is a fundamental step in the implementing of autonomous stair climbing navigation, as well as the implementing of passive alarm systems intended for the blind and visually impaired. This method analyzes the edges of a stairway based on planar motion tracking and directional filters. The horizontal edges of the stairs are extracted by using the Gabor Filter. Then, the vanishing point is extracted from the specified set of line segments in the aim of facilitating the reconstruction of the stair treads. After this stage, we extract a hypothetical set of targets by using the correlation method. Finally, we employ the discrimination method to find the ground plane, using the behavioral distance measurement. Consequently, the remaining information is considered as an indoor stairway candidate region. As a result, testing is able to prove its effectiveness.
  • Keywords
    Gabor filters; distance measurement; image segmentation; navigation; Gabor filter; autonomous stair climbing navigation; behavioral distance measurement; indoor stairway localization; indoor stairway recognition; stairway segmentation; vanishing point; Cameras; Data mining; Estimation; Feature extraction; Gabor filters; Image reconstruction; Image segmentation; Line segment extraction; Maximum distance of ground plane; Stairway reconstruction; Vanishing point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2152-7431
  • Print_ISBN
    978-1-4244-8113-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2011.5985801
  • Filename
    5985801