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
Link To Document :
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