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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3JTDBQ8
Repositorysid.inpe.br/sibgrapi/2015/07.24.14.25
Last Update2015:07.24.14.25.42 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2015/07.24.14.25.42
Metadata Last Update2022:05.18.22.21.01 (UTC) administrator
Citation KeyAlmeidaVascBeni:2015:FrDeSe
TitleFramework para Detecção de Semáforos Baseado em Atenção Visual
FormatOn-line
Year2015
Access Date2024, Apr. 28
Number of Files1
Size2321 KiB
2. Context
Author1 Almeida, Thiago
2 Vasconcelos, Nathanael
3 Benicasa, Alcides
Affiliation1 Universidade Federal de Sergipe
2 Universidade Federal de Sergipe
3 Universidade Federal de Sergipe
EditorVieira, Thales Miranda de Almeida
Mello, Vinicius Moreira
e-Mail Addressthiago7a@gmail.com
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador, BA, Brazil
Date26-29 Aug. 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-24 14:25:42 :: thiago7a@gmail.com -> administrator ::
2022-05-18 22:21:01 :: administrator -> :: 2015
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywords-chave-detecção e reconhecimento de semáforo
sistemas de transporte inteligentes
atenção visual
processamento de imagens
reconhecimento baseado em histograma de cores
AbstractThis article aims to propose a detection and recognition mechanism of traffic lights which is based on biological concepts of artificial intelligence, specifically visual attention, and image processing. The proposed mechanism uses information from the color histogram of the detected area for classifying scene as having a red or green light. Experimental results obtained in the daytime and nighttime periods reveal the efficiency of the proposed framework.
Arrangementurlib.net > SDLA > Fonds > SIBGRAPI 2015 > Framework para Detecção...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 24/07/2015 11:25 1.2 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3JTDBQ8
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3JTDBQ8
Languagept
Target Fileexample.pdf
User Groupadministrator
thiago7a@gmail.com
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPBW34M/3K24PF8
Citing Item Listsid.inpe.br/sibgrapi/2015/08.03.22.49 7
sid.inpe.br/banon/2001/03.30.15.38.24 1
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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