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

Abstract. This paper presents a method for tracking multiple skincolored 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 refine the classifier using additional training images. On-line adaptation of skin-color probabilities is used to enable the classifier to cope with illumination 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 possibly moving camera. Moreover, the number of tracked objects may vary in time. A prototype implementation of the developed system operate...

• Type: Conference
• Year: 2004
• Where: ECCV
• Authors: Antonis A. Argyros, Manolis I. A. Lourakis
• Keywords: Bayesian Classifier, Computer Vision, ECCV 2004, Multiple Skin-colored Objects, Multiple Skincolored Objects, Such Objects, Tracked Objects