Fast and Accurate Face Orientation Measurement in Low-resolution Images on Embedded Hardware

Dries Hulens, Kristof Van Beeck, Toon Goedemé

2016

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.

Paper Citation

in Harvard Style

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 - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 538-544. DOI: 10.5220/0005716105380544

in Bibtex Style

@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 - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={538-544},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005716105380544},
isbn={978-989-758-175-5},
}

in EndNote Style

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