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Real-Time Tracking of Multiple Skin-Colored Objects with a Possibly Moving Camera
 

Summary: Real-Time Tracking of Multiple Skin-Colored
Objects with a Possibly Moving Camera
Antonis A. Argyros and Manolis I.A. Lourakis
Institute of Computer Science
Foundation for Research and Technology - Hellas (FORTH)
Vassilika Vouton, P.O.Box 1385, GR 711 10
Heraklion, Crete, GREECE
{argyros,lourakis}@ics.forth.gr
Abstract. This paper presents a method for tracking multiple skin-
colored objects in images acquired by a possibly moving camera. The
proposed method encompasses a collection of techniques that enable the
modeling and detection of skin-colored objects as well as their temporal
association in image sequences. Skin-colored objects are detected with
a Bayesian classifier which is bootstrapped with a small set of training
data. Then, an off-line iterative training procedure is employed to re-
fine the classifier using additional training images. On-line adaptation of
skin-color probabilities is used to enable the classifier to cope with illumi-
nation changes. Tracking over time is realized through a novel technique
which can handle multiple skin-colored objects. Such objects may move
in complex trajectories and occlude each other in the field of view of a

  

Source: Argyros, Antonis - Foundation of Research and Technology, Hellas & Department of Computer Science, University of Crete
Trahanias, Panos - Institute of Computer Science, Foundation of Research and Technology, Hellas

 

Collections: Computer Technologies and Information Sciences