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A distributed real time eye-gaze tracking system

Authors: Antonio García Dopico; Francisco M. Sánchez; Antonio Pérez; José Luis Pedraza; Rafael Méndez; M. Luisa Córdoba; M. L. Muñoz;

A distributed real time eye-gaze tracking system

Abstract

This paper describes a real-time eye-gaze tracking system that bases its accuracy in a very precise estimation of the user's pupil centre. The system consists of two cameras, four illuminators and a low cost cluster of four PC's interconnected by a gigabit network. One of the cameras is mounted on a pan-tilt unit in order to perform the tracking of the person's eye. The second camera is fixed, gets a general view of the scene and it is used for finding the eye when the first camera loses it. Since high precision is needed for the determination of the point of gaze, high resolution images must be processed, For fulfilling time restrictions, image processing must be parallelised.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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