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@InProceedings{FavarettoDihMusVilCos:2017:UsBiFi,
               author = "Favaretto, Rodolfo Migon and Dihl, Leandro and Musse, Soraia Raupp 
                         and Vilanova, Felipe and Costa, Angelo Brandelli",
          affiliation = "Pontifical Catholic University of Rio Grande do Sul, Graduate 
                         Studies on Computer Science and Pontifical Catholic University of 
                         Rio Grande do Sul, Graduate Studies on Computer Science and 
                         Pontifical Catholic University of Rio Grande do Sul, Graduate 
                         Studies on Computer Science and Pontifical Catholic University of 
                         Rio Grande do Sul, Graduate Studies on Psychology and Pontifical 
                         Catholic University of Rio Grande do Sul, Graduate Studies on 
                         Psychology",
                title = "Using Big Five Personality Model to Detect Cultural Aspects in 
                         Crowds",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Cultural aspects, Big Five personality, Crowds, Computer vision.",
             abstract = "The use of information technology in the study of human behavior 
                         is a subject of great scientific interest. Cultural and 
                         personality aspects are factors that influence how people interact 
                         with one another in a crowd. This paper presents a methodology to 
                         detect cultural characteristics of crowds in video sequences. 
                         Based on filmed sequences, pedestrians are detected, tracked and 
                         characterized. Such information is then used to find out cultural 
                         differences in those videos, based on the Big-five personality 
                         model. Regarding cultural differences of each country, results 
                         indicate that this model generates coherent information when 
                         compared to data provided in literature.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
           targetfile = "PID4958091.pdf",
        urlaccessdate = "2021, Jan. 26"
}


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