An adaptive blink detector to initialize and update a view-basedremote eye gaze tracking system in a natural scenario

Authors:
Diego Torricelli;Michela Goffredo;Silvia Conforto;Maurizio Schmid
Affiliations:
Department of Applied Electronics, University Roma TRE, Roma, Italy and Instituto de Automática Industrial, Consejo Superior de Investigaciones Cientificas, Arganda del Rey, Madrid, Españ ...;Department of Applied Electronics, University Roma TRE, Roma, Italy and School of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom;Department of Applied Electronics, University Roma TRE, Roma, Italy;Department of Applied Electronics, University Roma TRE, Roma, Italy and Department of Physical Medicine and Rehabilitation, Harvard Medical School, Cambridge, MA, USA
Venue:
Pattern Recognition Letters
Year:
2009

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Abstract

A method for blink detection from video sequences gathered with a commercial camera is presented. This is used as a view-based remote eye gaze tracker (REGT) component performing two relevant functions, i.e. initialization and automatic updating in case of tracking failures. The method is based on frame differencing and eyes anthropometric properties. It has been tested on a publicly available database and results have been compared with algorithms found in literature. The obtained average true prediction rate is higher than 95%. The robustness of the automatic tracking failure detection has been tested on a set of experimental trials in different conditions, and yielded detection rates around 98%. The computational cost of the processing allows the blink detection algorithm to work in real time at 30fps. The obtained results are in favour of combining blink detection with gaze mapping for the development of a robust view-based remote eye-gaze tracker to be introduced in different HCI contexts, specifically in the assistive technology framework.