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Memorias de investigación
Ponencias en congresos:
Robust multi-camera tracking from schematic descriptions
Año:2010
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
Although monocular 2D tracking has been largely studied in the literature, it suffers from some inherent problems, mainly when handling persistent occlusions, that limit its performance in practical situations. Tracking methods combining observations from multiple cameras seem to solve these problems. However, most multi-camera systems require detailed information from each view, making it impossible their use in real networks with low transmission rate. In this paper, we present a robust multi-camera 3D tracking method which works on schematic descriptions of the observations performed by each camera of the system, allowing thus its performance in real surveillance networks. It is based on unspecific 2D detection systems working independently in each camera, whose results are smartly combined by means of a Bayesian association method based on geometry and color, allowing the 3D tracking of the objects of the scene with a Particle Filter. The tests performed show the excellent performance of the system, even correcting possible failures of the 2D processing modules.
Internacional
Si
Nombre congreso
IEEE International Conference on Image Processing (ICIP)
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
978-1-4244-7994-8
DOI
10.1109/ICIP.2010.5649425
Fecha inicio congreso
26/09/2010
Fecha fin congreso
29/09/2010
Desde la página
3949
Hasta la página
3952
Título de las actas
Proceedings of the 2010 IEEE International Conference on Image Processing
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Raúl Mohedano Del Pozo (UPM)
  • Autor: Narciso Garcia Santos (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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