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Título
Visual object tracking in 3D with color based particle filter
Autor
Facultad/Centro
Área de conocimiento
Datos de la obra
International Conference on Pattern Recognition and Computer Vision, Febrero, 2005, Estambul, Turkia
Fecha
2005-02-25
Abstract
This paper addresses the problem of determining the
current 3D location of a moving object and robustly tracking it from
a sequence of camera images. The approach presented here uses a
particle lter and does not perform any explicit triangulation. Only
the color of the object to be tracked is required, but not any precise
motion model. The observation model we have developed avoids
the color ltering of the entire image. That and the MonteCarlo
techniques inside the particle lter provide real time performance.
Experiments with two real cameras are presented and lessons learned
are commented. The approach scales easily to more than two cameras
and new sensor cues
Materia
Palabras clave
Subtipo documental
info:eu-repo/semantics/lecture
URI
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