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Memorias de investigación
Communications at congresses:
Robust 3D multi-camera tracking from 2D mono-camera tracks by bayesian association
Year:2010
Research Areas
  • Processing and signal analysis
Information
Abstract
Visual tracking of people is essential automatic scene understanding and surveillance of areas of interest. Monocular 2D tracking has been largely studied, but it usually provides inadequate information for event nterpretation, and also proves insufficiently robust, due to view-point limitations (occlusions, etc.). In this paper, we present a light but automatic and robust 3D tracking method using multiple calibrated cameras. It is based on off-the-shelf 2D tracking systems running independently in each camera of the system, combined using Bayesian association of the monocular tracks. The proposed system shows excellent results even in challenging situations, proving itself able to automatically boost and recover from possible errors.
International
Si
Congress
IEEE International Conference on Consumer Electronics, ICCE 2010
960
Place
Las Vegas (NV), USA
Reviewers
Si
ISBN/ISSN
978-1-4244-4314-7
10.1109/ICCE.2010.5418780
Start Date
11/01/2010
End Date
13/01/2010
From page
313
To page
314
Proc. IEEE Int. Conf. on Consumer Electronics
Participants
  • Autor: Raúl Mohedano Del Pozo (UPM)
  • Autor: Narciso Garcia Santos (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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