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Título
Multi-camera 3-D tracking using particle filter
Autor
Facultad/Centro
Área de conocimiento
Cita Bibliográfica
International Conference on Multimedia, Image processing and Computer Vision (IADAT-MICV 2005), 30 de abril, 2008, Madrid
Fecha
2008-04-30
Resumen
Determining the 3D location of a moving object, and tracking it from a sequence of
different camera images is a classical but still challenging problem. In our
approach neither explicit triangulation, nor precise motion model are used; only
the colour of the object to be tracked is required. We use a particle filter, where
the observation model we have developed avoids the colour filtering of the entire
image. Preliminary experiments are presented and lessons learned are commented.
The approach easily scales to several cameras and new sensor cues
Materia
Palabras clave
Subtipo documental
info:eu-repo/semantics/lecture
URI
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