A robust elliptical head tracker

Authors:
Harsh Nanda;Kikuo Fujimura
Affiliations:
Department of Computer Science, University of Maryland, College Park, Maryland;Honda Research Institute USA, Mountain View, CA
Venue:
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Year:
2004

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Abstract

A method is presented for robust head tracking in highly cluttered environments. The head's projection onto a 3D depth map of the scene is modelled as an ellipse whose position and size are constantly updated by a local search. Ellipse detection is performed on depth discontinuities using Chamfer Distance. The resultant system is a real-time, illumination and head-rotation invariant robust head tracker. The approach can be easily generalized further to perform tracking or detection of objects of different shapes e.g. hands.