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Authors: Dries Hulens ; Kristof Van Beeck and Toon Goedemé

Affiliation: KU Leuven, Belgium

Keyword(s): Face Angle Estimation, Gaze Direction, Pose Estimation, Embedded Hardware.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Pattern Recognition ; Robotics ; Software Engineering ; Visual Attention and Image Saliency

Abstract: In a lot of applications it is important to collect some information about the gaze orientation or head-angle of a person. Just consider measuring the alertness of a car driver to see if he is still awake, or the attentiveness of people crossing a street to see if they noticed the cars driving by. In our own application we want to apply cinematographic rules (e.g. the rule of thirds where a face should be positioned left or right in the frame depending on the gaze direction) on images taken from on a UAV. Nowadays these applications should run on embedded hardware so they can be easily attached on e.g. a car or a UAV. This implies that the head angle detection algorithm should run in real-time on minimal hardware. Therefore we developed two approaches that run in real-time on embedded hardware while gaining excellent performance. We demonstrated these approaches on both a publicly available face dataset and our own dataset recorded by a UAV.

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Paper citation in several formats:
Hulens, D.; Van Beeck, K. and Goedemé, T. (2016). Fast and Accurate Face Orientation Measurement in Low-resolution Images on Embedded Hardware. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 538-544. DOI: 10.5220/0005716105380544

@conference{visapp16,
author={Dries Hulens. and Kristof {Van Beeck}. and Toon Goedemé.},
title={Fast and Accurate Face Orientation Measurement in Low-resolution Images on Embedded Hardware},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={538-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005716105380544},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Fast and Accurate Face Orientation Measurement in Low-resolution Images on Embedded Hardware
SN - 978-989-758-175-5
IS - 2184-4321
AU - Hulens, D.
AU - Van Beeck, K.
AU - Goedemé, T.
PY - 2016
SP - 538
EP - 544
DO - 10.5220/0005716105380544
PB - SciTePress

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