ROBUST FACE DETECTION IN PATIENT TRIAGE IMAGES

Niyati Chhaya, Tim Oates

Abstract

Disaster events like the attack on theWorld Trade Center in New York City in 2001 and the earthquake in Haiti in 2010 result in a desperate need for family and friends to obtain information about missing people. This can be facilitated by automatically extracting textual descriptors of patients from images taken at emergency triage centers. We show that existing face detection algorithms, a necessary precursor to extracting such descriptors, perform poorly on triage images taken during disaster simulations, and propose and demonstrate the superiority of an ensemble-based face detection method that is a combination of robust skin detection and simple pattern matching face detection techniques. The addition of a template-based eye detection method further improves the accuracy of our face detection method.

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Paper Citation


in Harvard Style

Chhaya N. and Oates T. (2011). ROBUST FACE DETECTION IN PATIENT TRIAGE IMAGES . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 326-333. DOI: 10.5220/0003319303260333


in Bibtex Style

@conference{visapp11,
author={Niyati Chhaya and Tim Oates},
title={ROBUST FACE DETECTION IN PATIENT TRIAGE IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={326-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003319303260333},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - ROBUST FACE DETECTION IN PATIENT TRIAGE IMAGES
SN - 978-989-8425-47-8
AU - Chhaya N.
AU - Oates T.
PY - 2011
SP - 326
EP - 333
DO - 10.5220/0003319303260333