%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/09.01.23.19
%2 sid.inpe.br/sibgrapi/2016/09.01.23.19.55
%T Automatic Detection of Tactile Paving Surfaces in Indoor Environments
%D 2016
%A Einloft, Daniel Centeno,
%A Ghilardi, Marcelo Cabral,
%A Manssour, Isabel Harb,
%@affiliation Pontifícia Universidade Católica do Rio Grande do Sul
%@affiliation Pontifícia Universidade Católica do Rio Grande do Sul
%@affiliation Pontifícia Universidade Católica do Rio Grande do Sul
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I Sociedade Brasileira de Computação
%J Porto Alegre
%S Proceedings
%K Computer Vision, Image Processing, Accessibility, Visually Impaired, Tactile Paving Surfaces.
%X 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.
%@language en
%3 WUW_SIBGRAPI_2016_DanielCentenoEinloft.pdf