@InProceedings{LimaFiguMartSchm:2021:ViLiOf,
               author = "Lima, Karim Ferreira and Figueiredo, Rodrigo Marques de and 
                         Martins, Eduardo Augusto and Schmith, Jean",
                title = "Virtual lines for offside situations analysis in football",
            booktitle = "Proceedings...",
                 year = "2021",
               editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and 
                         Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario 
                         and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos, 
                         Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira, 
                         Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir 
                         A. and Fernandes, Leandro A. F. and Avila, Sandra",
         organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Football Offside, Virtual Offside Lines, VAR, Digital Image 
                         Processing.",
             abstract = "Offside is one of the situations that is analyzed by the Video 
                         Assistant Referee (VAR). However, it has caused some controversy 
                         due to the delay in the analysis and definition of the 
                         irregularity. This work proposes a method that helps in the 
                         analysis of offside situations and also makes it available for 
                         nonprofessional matches. Here, image processing algorithms were 
                         used to determine offside situations in football matches from TV 
                         videos, of course, in accordance with the game regulation. The 
                         method includes the image vanishing point identification, camera 
                         calibration and the virtual offside line drawing. The method 
                         presented good results from 10 videos selected for analysis, with 
                         five from the right side of the field and five on from the left 
                         side. Among the videos, one was chosen as the basis for explaining 
                         the development of the method and demonstrate a situation with a 
                         virtual line drawn automatically, therefore determining an offside 
                         situation. As a result, the virtual line is identified by the 
                         color red when the manually selected player is in offside and 
                         green when he is not.",
  conference-location = "Gramado, RS, Brazil (virtual)",
      conference-year = "18-22 Oct. 2021",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/45CUG9L",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45CUG9L",
           targetfile = "VOL_manuscript_V2 (1).pdf",
        urlaccessdate = "2024, May 06"
}