Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2015: (UTC) administrator
Metadata Last Update2016: (UTC) administrator
Citation KeyAlmeidaVascBeni:2015:FrDeSe
TitleFramework para Detecção de Semáforos Baseado em Atenção Visual
Access Date2021, Dec. 01
Number of Files1
Size2321 KiB
Context area
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
Conference NameConference on Graphics, Patterns and Images, 28 (SIBGRAPI)
Conference LocationSalvador
DateAug. 26-29, 2015
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Book TitleProceedings
Tertiary TypeUndergraduate Work
History (UTC)2015-07-24 14:25:42 :: -> administrator ::
2016-06-03 21:18:37 :: administrator -> :: 2015
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
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. > SDLA > SIBGRAPI 2015 > Framework para Detecção...
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Next Higher Units8JMKD3MGPBW34M/3K24PF8
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