Stairway tracking based on automatic target selection using directional filters
In 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. Both of these sy...
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| Format: | article |
| Idioma: | anglès |
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2018
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| Accés en línia: | https://ieeexplore.ieee.org/abstract/document/5739752/ http://ridda2.utp.ac.pa/handle/123456789/5087 |
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| _version_ | 1869652457535045632 |
|---|---|
| author | Cáceres Hernández, Danilo |
| author2 | Hyun Jo, Kang |
| author2_role | author |
| author_browse | Cáceres Hernández, Danilo Hyun Jo, Kang |
| author_facet | Cáceres Hernández, Danilo Hyun Jo, Kang |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Cáceres Hernández, Danilo Hyun Jo, Kang |
| dc.date.none.fl_str_mv | 02/09/2011 02/09/2011 2018-06-28T21:06:20Z 2018-06-28T21:06:20Z 2018-06-28T21:06:20Z 2018-06-28T21:06:20Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/abstract/document/5739752/ http://ridda2.utp.ac.pa/handle/123456789/5087 http://ridda2.utp.ac.pa/handle/123456789/5087 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Pixel Image segmentation Cameras Gabor filters Data mining Tracking Histograms Pixel Image segmentation Cameras Gabor filters Data mining Tracking Histograms |
| dc.title.none.fl_str_mv | Stairway tracking based on automatic target selection using directional filters |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | In 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. Both of these 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 are proposing the use of 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. After the stairway candidate region was obtained by applying our approach mentioned in the previous step, we proceeded with the candidate assessment tracking, based on the criterion of the minimum displaced frame difference, ground truth, as well as the rigidity of the stair. As a result, testing was able to prove its effectiveness. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_22110f674731f6dfb75fcd67ee138ab1 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/5087 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Stairway tracking based on automatic target selection using directional filtersCáceres Hernández, DaniloHyun Jo, KangPixelImage segmentationCamerasGabor filtersData miningTrackingHistogramsPixelImage segmentationCamerasGabor filtersData miningTrackingHistogramsIn 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. Both of these 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 are proposing the use of 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. After the stairway candidate region was obtained by applying our approach mentioned in the previous step, we proceeded with the candidate assessment tracking, based on the criterion of the minimum displaced frame difference, ground truth, as well as the rigidity of the stair. As a result, testing was able to prove its effectiveness.In 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. Both of these 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 are proposing the use of 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. After the stairway candidate region was obtained by applying our approach mentioned in the previous step, we proceeded with the candidate assessment tracking, based on the criterion of the minimum displaced frame difference, ground truth, as well as the rigidity of the stair. As a result, testing was able to prove its effectiveness.2018-06-28T21:06:20Z2018-06-28T21:06:20Z2018-06-28T21:06:20Z2018-06-28T21:06:20Z02/09/201102/09/2011info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://ieeexplore.ieee.org/abstract/document/5739752/http://ridda2.utp.ac.pa/handle/123456789/5087http://ridda2.utp.ac.pa/handle/123456789/5087enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/50872021-07-06T15:34:54Z |
| spellingShingle | Stairway tracking based on automatic target selection using directional filters Cáceres Hernández, Danilo Pixel Image segmentation Cameras Gabor filters Data mining Tracking Histograms Pixel Image segmentation Cameras Gabor filters Data mining Tracking Histograms |
| status_str | publishedVersion |
| title | Stairway tracking based on automatic target selection using directional filters |
| title_full | Stairway tracking based on automatic target selection using directional filters |
| title_fullStr | Stairway tracking based on automatic target selection using directional filters |
| title_full_unstemmed | Stairway tracking based on automatic target selection using directional filters |
| title_short | Stairway tracking based on automatic target selection using directional filters |
| title_sort | Stairway tracking based on automatic target selection using directional filters |
| topic | Pixel Image segmentation Cameras Gabor filters Data mining Tracking Histograms Pixel Image segmentation Cameras Gabor filters Data mining Tracking Histograms |
| url | https://ieeexplore.ieee.org/abstract/document/5739752/ http://ridda2.utp.ac.pa/handle/123456789/5087 |