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Summary: Tracking Skin-colored Objects in Real-time
Antonis A. Argyros and Manolis I.A. Lourakis
Institute of Computer Science (ICS)
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
We present a methodology for tracking multiple skin-colored objects in a
monocular image sequence. The proposed approach encompasses a collection of
techniques that allow the modeling, detection and temporal association of skin-
colored objects across image sequences. A non-parametric model of skin color is
employed. Skin-colored objects are detected with a Bayesian classifier that is
bootstrapped with a small set of training data and refined through an off-line
iterative training procedure. By using on-line adaptation of skin-color
probabilities the classifier is able to cope with considerable illumination
changes. Tracking over time is achieved by a novel technique that can handle
multiple objects simultaneously. Tracked objects may move in complex
trajectories, occlude each other in the field of view of a possibly moving camera
and vary in number over time. A prototype implementation of the developed
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