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Competitive Combination of Multiple Eye Detection and Tracking Techniques

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2 Author(s)
Giancarlo Iannizzotto ; Dipartimento di Scienze per l'Ingegneria e l'Architettura, Sezione Matematica ed Eidomatica, University of Messina, Messina, Italy ; Francesco La Rosa

Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present an innovative approach to the problem of eye tracking. A number of traditional eye detectors, chosen for their own properties, are combined by two different competitive schemes with the aim to obtain a higher degree of robustness and reliability. To illustrate our work and validate our competitive combination approach, we introduce a proof-of-concept single-camera remote eye tracker and discuss its implementation and the produced experimental results.

Published in:

IEEE Transactions on Industrial Electronics  (Volume:58 ,  Issue: 8 )