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
Link To Document