Pupil Localization by a Template Matching Method

Donatello Conte; Rosario Di Lascio; Pasquale Foggia; Gennaro Percannella; Mario Vento

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Paper

Pupil Localization by a Template Matching Method

Topics: Object Detection and Localization; Segmentation and Grouping

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 779-782, 2013 , Barcelona, Spain

Authors: Donatello Conte ¹ ; Rosario Di Lascio ² ; Pasquale Foggia ¹ ; Gennaro Percannella ¹ and Mario Vento ¹

Affiliations: ¹ University of Salerno, Italy ; ² A.I. Tech srl, Italy

Keyword(s): Pupil Localization, Pupil Tracking, Template Matching.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: In this paper, a new algorithm for pupil localization is proposed. The algorithm is based on a template matching approach; the original contribution is that the model of the pupil that is used is not fixed, but it is automatically constructed on the first frame of the video sequence to be examined. Therefore the model is adaptively tuned to each subject, in order to improve the robustness and the accuracy of the detection. The results show the effectiveness of the proposed algorithm.

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Paper citation in several formats:

Conte, D.; Di Lascio, R.; Foggia, P.; Percannella, G. and Vento, M. (2013). Pupil Localization by a Template Matching Method. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 779-782. DOI: 10.5220/0004287907790782

@conference{visapp13,
author={Donatello Conte. and Rosario {Di Lascio}. and Pasquale Foggia. and Gennaro Percannella. and Mario Vento.},
title={Pupil Localization by a Template Matching Method},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={779-782},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004287907790782},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Pupil Localization by a Template Matching Method
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Conte, D.
AU - Di Lascio, R.
AU - Foggia, P.
AU - Percannella, G.
AU - Vento, M.
PY - 2013
SP - 779
EP - 782
DO - 10.5220/0004287907790782
PB - SciTePress