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Authors: Peter Paul 1 and Yuheng Wang 2

Affiliations: 1 Xerox Corporation, United States ; 2 Rochester Institute of Technology, United States

ISBN: 978-989-8565-03-7

ISSN: 2184-4321

Keyword(s): Face Detection, SMQT, SNoW, Vehicle Occupancy Detection, Design of Experiments, DOE.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors

Abstract: Robustness of SNoW based face detection using local SMQT features to low light conditions is examined through experimental investigation. Low light conditions are emulated by varying camera aperture and camera exposure time to a xenon flash device in night time conditions. For face detection in the context of vehicle occupancy detection, it was found that reducing the illumination to 25% of that required for a properly exposed image to a human observer resulted in a reduction in face classification score that did not significantly reduce classification performance.

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Paper citation in several formats:
Paul, P. and Wang, Y. (2012). EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS. In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7; ISSN 2184-4321, pages 738-741. DOI: 10.5220/0003871207380741

@conference{visapp12,
author={Peter Paul. and Yuheng Wang.},
title={EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={738-741},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003871207380741},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - EXPERIMENTS ON FACIAL CLASSIFICATION IN LOW LIGHT CONDITIONS
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Paul, P.
AU - Wang, Y.
PY - 2012
SP - 738
EP - 741
DO - 10.5220/0003871207380741

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