@InProceedings{AlmeidaVascBeni:2015:FrDeSe,
               author = "Almeida, Thiago and Vasconcelos, Nathanael and Benicasa, Alcides",
          affiliation = "{Universidade Federal de Sergipe} and {Universidade Federal de 
                         Sergipe} and {Universidade Federal de Sergipe}",
                title = "Framework para Detec{\c{c}}{\~a}o de Sem{\'a}foros Baseado em 
                         Aten{\c{c}}{\~a}o Visual",
            booktitle = "Proceedings...",
                 year = "2015",
               editor = "Vieira, Thales Miranda de Almeida and Mello, Vinicius Moreira",
         organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "-chave-detec{\c{c}}{\~a}o e reconhecimento de sem{\'a}foro, 
                         sistemas de transporte inteligentes, aten{\c{c}}{\~a}o visual, 
                         processamento de imagens, reconhecimento baseado em histograma de 
                         cores.",
             abstract = "This 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.",
  conference-location = "Salvador, BA, Brazil",
      conference-year = "26-29 Aug. 2015",
             language = "pt",
                  ibi = "8JMKD3MGPBW34M/3JTDBQ8",
                  url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JTDBQ8",
           targetfile = "example.pdf",
        urlaccessdate = "2024, Apr. 29"
}