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@InProceedings{JśniorPįOgAlSiBa:2020:WiBoCl,
               author = "J{\'u}nior, Lu{\'{\i}}s S{\'{\i}}lva and P{\'a}dua, 
                         Maric{\'e}ia and Ogusuku, Leonardo and Albertini, Marcelo Keese 
                         and Silva, Renato Aparecido Pimentel da and Backes, Andr{\'e} 
                         Ricardo",
          affiliation = "{Universidade Federal de Uberl{\^a}ndia} and {Instituto Estadual 
                         de Florestas} and {Instituto Estadual de Florestas} and 
                         {Universidade Federal de Uberl{\^a}ndia} and {Universidade 
                         Federal de Uberl{\^a}ndia} and {Universidade Federal de 
                         Uberl{\^a}ndia}",
                title = "Wild boar Classification by Using a Fusion of Texture Analysis 
                         Methods",
            booktitle = "Proceedings...",
                 year = "2020",
               editor = "Musse, Soraia Raupp and Cesar Junior, Roberto Marcondes and 
                         Pelechano, Nuria and Wang, Zhangyang (Atlas)",
         organization = "Conference on Graphics, Patterns and Images, 33. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Texture Analysis, Wild boar, Computer Vision.",
             abstract = "In several countries the wild boar is an invasive species that 
                         remains widespread mainly due its adaptability and uncontrolled 
                         reproduction. The monitoring of populations of this pest by camera 
                         traps is a promising technique. These devices capture a large 
                         variety of animals, including native species that share 
                         similarities with the wild boar, therefore the precise 
                         identification of the animal species is essential to control the 
                         wild boars. To address this problem, we evaluated 18 different 
                         texture analysis methods on their ability to discriminate between 
                         two native ``bush pigs'' species of the Brazilian fauna, collared 
                         peccary (\textit{Pecari tajacu}) and white-lipped peccary 
                         (\textit{Tayassu pecari}), and one invasive species, wild boar 
                         (\textit{Sus scrofa}). Results show that species identification 
                         is a difficult task due to the similarities among classes, being 
                         the distinction between native and invasive species an easier 
                         task, and that combining of texture methods improves the accuracy 
                         while diminishes the number of false positives (i.e., native 
                         species classified as invasive).",
  conference-location = "Virtual",
      conference-year = "Nov. 7-10, 2020",
             language = "en",
           targetfile = "manuscript.pdf",
        urlaccessdate = "2021, Jan. 19"
}


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