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dc.contributor.authorCáceres Hernández, Danilo
dc.date.accessioned2018-06-27T21:11:14Z
dc.date.accessioned2018-06-27T21:11:14Z
dc.date.available2018-06-27T21:11:14Z
dc.date.available2018-06-27T21:11:14Z
dc.date.issued2011-06-28
dc.date.issued2011-06-28
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5083
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5083
dc.descriptionIn this paper we are proposing a method for detecting the localization of indoor stairways. This is a fundamental step for the implementation of autonomous stair climbing navigation and passive alarm systems intended for the blind and visually impaired. Both of these kinds of systems must be able to recognize parameters that can describe stairways in unknown environments. This method analyzes the edges of a stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we used 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 was able to prove its effectiveness.en_US
dc.description.abstractIn this paper we are proposing a method for detecting the localization of indoor stairways. This is a fundamental step for the implementation of autonomous stair climbing navigation and passive alarm systems intended for the blind and visually impaired. Both of these kinds of systems must be able to recognize parameters that can describe stairways in unknown environments. This method analyzes the edges of a stairway based on planar motion tracking and directional filters. We extracted the horizontal edge of the stairs by using the Gabor Filter. From the specified set of horizontal line segments, we extracted a hypothetical set of targets by using the correlation method. Finally, we used 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 was able to prove its effectiveness.en_US
dc.languageeng
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectStairway segmentationen_US
dc.subjectGabor filteren_US
dc.subjectMaximum distance of ground planeen_US
dc.subjectLine segments extractionen_US
dc.subjectStair candidate regionen_US
dc.subjectStairway segmentation
dc.subjectGabor filter
dc.subjectMaximum distance of ground plane
dc.subjectLine segments extraction
dc.subjectStair candidate region
dc.titleStairway Detection Based on Single Camera by Motion Stereoen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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