@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, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.58",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.58",
language = "en",
ibi = "8JMKD3MGPBW34M/387DST2",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/387DST2",
targetfile = "70652_2.pdf",
urlaccessdate = "2024, Apr. 28"
}