@InProceedings{LuvizonNassMine:2016:VeSpEs,
               author = "Luvizon, Diogo Carbonera and Nassu, Bogdan Tomoyuki and Minetto, 
                         Rodrigo",
          affiliation = "{Federal University of Technology - Paran{\'a} (UTFPR)} and 
                         {Federal University of Technology - Paran{\'a} (UTFPR)} and 
                         {Federal University of Technology - Paran{\'a} (UTFPR)}",
                title = "Vehicle Speed Estimation by License Plate Detection and Tracking",
            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 = "vehicle speed, speed measurement, license plate detection, feature 
                         traking.",
             abstract = "We propose a non-intrusive methodology, based on digital videos, 
                         for measuring vehicle speeds by detecting and tracking license 
                         plates a technology that does not exist in Brazil. We proposed 
                         novel algorithms for detecting regions containing moving vehicles, 
                         as well as their license plates. Each vehicles speed is then 
                         estimated by tracking the license plates and applying geometric 
                         transformations. Experiments were performed on videos containing 
                         8,000 vehicles, associated to speeds measured by a precise 
                         inductive loop detector. The average speed measurement error was 
                         -0.5 km/h, staying inside the +2/-3 km/h margin determined by 
                         international regulatory agencies, in more than 96% of the 
                         cases.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M9JT2L",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M9JT2L",
           targetfile = "sibgrapi_2016_luvizon.pdf",
        urlaccessdate = "2024, Apr. 27"
}