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@InProceedings{SimasFicNovBemBot:2010:3DMoTr,
               author = "Simas, Gisele Moraes and Fickel, Guilherme Pinto and Novelo, Lucas 
                         and Bem, Rodrigo Andrade de and Botelho, Silvia Silva da Costa",
          affiliation = "{Federal University of Rio Grande - FURG} and {Federal University 
                         of Rio Grande - FURG} and {Federal University of Rio Grande - 
                         FURG} and {Federal University of Rio Grande - FURG} and {Federal 
                         University of Rio Grande - FURG}",
                title = "3D motion tracking based on probabilistic volumetric 
                         reconstruction and optical flow",
            booktitle = "Proceedings...",
                 year = "2010",
               editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
         organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "probabilistic volumetric reconstruction, optical flow, motion 
                         tracking.",
             abstract = "This paper proposes a method for motion tracking of objects 
                         without a pre-defined shape, the main aspect of this method is the 
                         use of a probabilistic volumetric reconstruction that incorporates 
                         motion information. First, a volumetric reconstruction of the 
                         objects of interest is obtained by the 3D Probabilistic Occupancy 
                         Grid method, which was recently proposed for to be applied in 
                         environments sensed by multiple cameras. Then, we originally 
                         propose to add Optical Flow information to this reconstruction. 
                         Next, a method similar to the Expectation-Maximization (EM) 
                         algorithm is used to identify and track the body parts of objects 
                         of interest. It was noted that the proposed information of 
                         velocity vector fields are a good option to improve the perception 
                         of motion in 3D reconstruction, providing the best results in the 
                         tracking.",
  conference-location = "Gramado",
      conference-year = "Aug. 30 - Sep. 3, 2010",
             language = "en",
           targetfile = "70652_2.pdf",
        urlaccessdate = "2020, Nov. 25"
}


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