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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPAW/3MCANNS
Repositorysid.inpe.br/sibgrapi/2016/09.01.23.19
Last Update2016:09.01.23.19.55 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2016/09.01.23.19.55
Metadata Last Update2022:05.18.22.21.09 (UTC) administrator
Citation KeyEinloftGhilMans:2016:AuDeTa
TitleAutomatic Detection of Tactile Paving Surfaces in Indoor Environments
FormatOn-line
Year2016
Access Date2024, Apr. 29
Number of Files1
Size3877 KiB
2. Context
Author1 Einloft, Daniel Centeno
2 Ghilardi, Marcelo Cabral
3 Manssour, Isabel Harb
Affiliation1 Pontifícia Universidade Católica do Rio Grande do Sul
2 Pontifícia Universidade Católica do Rio Grande do Sul
3 Pontifícia Universidade Católica do Rio Grande do Sul
EditorAliaga, Daniel G.
Davis, Larry S.
Farias, Ricardo C.
Fernandes, Leandro A. F.
Gibson, Stuart J.
Giraldi, Gilson A.
Gois, João Paulo
Maciel, Anderson
Menotti, David
Miranda, Paulo A. V.
Musse, Soraia
Namikawa, Laercio
Pamplona, Mauricio
Papa, João Paulo
Santos, Jefersson dos
Schwartz, William Robson
Thomaz, Carlos E.
e-Mail Addressdanieleinloft93@gmail.com
Conference NameConference on Graphics, Patterns and Images, 29 (SIBGRAPI)
Conference LocationSão José dos Campos, SP, Brazil
Date4-7 Oct. 2016
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2016-09-01 23:19:55 :: danieleinloft93@gmail.com -> administrator ::
2022-05-18 22:21:09 :: administrator -> :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsComputer Vision
Image Processing
Accessibility
Visually Impaired
Tactile Paving Surfaces
AbstractThere are around 285 million people in the world with some kind of visual impairments. In Brazil, there are 35.7 million people with visual impairments, of these 6.5 million are totally blind or have great difficulty to see. Individuals with visual impairments have many challenges in autonomous locomotion, even in indoor environments. Many places, as banks, airports, malls, public buildings, etc., have tactile paving to aid these individuals, however, sometimes it is a difficult task locate and follow this type of paving. Thus, the main goal of this work is to present a model that, based on computer vision techniques, helps the individuals with visually impaired to locate, identify, and be guided by tactile paving surface in indoors environments. Our initial results on detecting tactile paving show promising results.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2016 > Automatic Detection of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPAW/3MCANNS
zipped data URLhttp://urlib.net/zip/8JMKD3MGPAW/3MCANNS
Languageen
Target FileWUW_SIBGRAPI_2016_DanielCentenoEinloft.pdf
User Groupdanieleinloft93@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3M2D4LP
Citing Item Listsid.inpe.br/sibgrapi/2016/07.02.23.50 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume


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