Reference TypeConference Proceedings
Citation KeySimasFicNovBemBot:2010:3DMoTr
Author1 Simas, Gisele Moraes
2 Fickel, Guilherme Pinto
3 Novelo, Lucas
4 Bem, Rodrigo Andrade de
5 Botelho, Silvia Silva da Costa
Affiliation1 Federal University of Rio Grande - FURG
2 Federal University of Rio Grande - FURG
3 Federal University of Rio Grande - FURG
4 Federal University of Rio Grande - FURG
5 Federal University of Rio Grande - FURG
Title3D motion tracking based on probabilistic volumetric reconstruction and optical flow
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
EditorBellon, Olga
Esperanša, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
Keywordsprobabilistic volumetric reconstruction, optical flow, motion tracking.
AbstractThis 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.
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size352 KiB
Number of Files1
Target File70652_2.pdf
Last Update2010:
Metadata Last Update2010: {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Content TypeExternal Contribution
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History2010-10-01 04:19:38 :: -> :: 2010
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Access Date2020, Nov. 27