HEAD ORIENTATION AND GAZE DETECTION FROM A SINGLE IMAGE

Jeremy Yirmeyahu Kaminski, Adi Shavit, Dotan Knaan, Mina Teicher

Abstract

Head orientation is an important part of many advanced human-machine interaction systems. We present a single image based head pose computation algorithm. It is deduced from anthropometric data. This approach allows us to use a single camera and requires no cooperation from the user. Using a single image avoids the complexities associated with of a multi-camera system. Evaluation tests show that our approach is accurate, fast and can be used in a variety of contexts. Application to gaze detection, with a working system, is also demonstrated.

References

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Paper Citation


in Harvard Style

Yirmeyahu Kaminski J., Shavit A., Knaan D. and Teicher M. (2006). HEAD ORIENTATION AND GAZE DETECTION FROM A SINGLE IMAGE . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 85-92. DOI: 10.5220/0001375800850092


in Bibtex Style

@conference{visapp06,
author={Jeremy Yirmeyahu Kaminski and Adi Shavit and Dotan Knaan and Mina Teicher},
title={HEAD ORIENTATION AND GAZE DETECTION FROM A SINGLE IMAGE},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={85-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001375800850092},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - HEAD ORIENTATION AND GAZE DETECTION FROM A SINGLE IMAGE
SN - 972-8865-40-6
AU - Yirmeyahu Kaminski J.
AU - Shavit A.
AU - Knaan D.
AU - Teicher M.
PY - 2006
SP - 85
EP - 92
DO - 10.5220/0001375800850092