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dc.contributor.authorCáceres Hernández, Danilo
dc.contributor.authorHyun Jo, Kang
dc.date.accessioned2018-06-27T20:45:43Z
dc.date.accessioned2018-06-27T20:45:43Z
dc.date.available2018-06-27T20:45:43Z
dc.date.available2018-06-27T20:45:43Z
dc.date.issued08/07/2011
dc.date.issued08/07/2011
dc.identifierhttps://ieeexplore.ieee.org/abstract/document/5985801/
dc.identifier.issn2152-744X
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5080
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/5080
dc.descriptionThis 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.en_US
dc.description.abstractThis 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.en_US
dc.formatapplication/pdf
dc.formattext/html
dc.languagespa
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCamerasen_US
dc.subjectEstimationen_US
dc.subjectImage segmentationen_US
dc.subjectImage reconstructionen_US
dc.subjectFeature extractionen_US
dc.subjectGabor filtersen_US
dc.subjectData miningen_US
dc.subjectCameras
dc.subjectEstimation
dc.subjectImage segmentation
dc.subjectImage reconstruction
dc.subjectFeature extraction
dc.subjectGabor filters
dc.subjectData mining
dc.titleStairway segmentation using Gabor Filter and vanishing pointen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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