@InProceedings{EinloftGhilMans:2016:AuDeTa,
               author = "Einloft, Daniel Centeno and Ghilardi, Marcelo Cabral and Manssour, 
                         Isabel Harb",
          affiliation = "{Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio Grande do 
                         Sul} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica do Rio 
                         Grande do Sul} and {Pontif{\'{\i}}cia Universidade Cat{\'o}lica 
                         do Rio Grande do Sul}",
                title = "Automatic Detection of Tactile Paving Surfaces in Indoor 
                         Environments",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Computer Vision, Image Processing, Accessibility, Visually 
                         Impaired, Tactile Paving Surfaces.",
             abstract = "There 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.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3MCANNS",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3MCANNS",
           targetfile = "WUW_SIBGRAPI_2016_DanielCentenoEinloft.pdf",
        urlaccessdate = "2024, Apr. 28"
}