• DocumentCode
    1644252
  • Title

    Outdoor stairway segmentation using vertical vanishing point and directional filter

  • Author

    Hernandez, Danilo Caceres ; Jo, Kang-Hyun

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Ulsan, Ulsan, South Korea
  • fYear
    2010
  • Firstpage
    82
  • Lastpage
    86
  • Abstract
    In this paper we propose to detect the localization and recognition of outdoor stairway. This problem is the most fundamental step in solving the problem of autonomous stair climbing navigation. An autonomous system must be able to recognize parameters that can describe stairways in unknown environments. First, we proposed to extract the longest segments of diagonal lines from the edge image in order to identify a set of diagonal line segments candidate. This can provide information itself. Based on the vanishing point we defined the area where the stair candidate is located. We then applied the Gabor filter to detect the horizontal line. Finally, after combining the previous two steps, the algorithm defined the candidate stair area in the image. A set of stair images were used within a variety of conditions in our proposed method. As a result, testing was able to prove its effectiveness.
  • Keywords
    Gabor filters; edge detection; image segmentation; Gabor filter; autonomous stair climbing navigation; diagonal line segment extraction; directional filter; edge image extraction; outdoor stairway segmentation; vertical vanishing point; Robots; Horizontal line extraction; Outdoor Stairway Segmentation; Stair angle detection; Stair candidate region; Vertical vanishing point;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2010 International Forum on
  • Conference_Location
    Ulsan
  • Print_ISBN
    978-1-4244-9038-7
  • Electronic_ISBN
    978-1-4244-9036-3
  • Type

    conf

  • DOI
    10.1109/IFOST.2010.5667914
  • Filename
    5667914