loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

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

ISBN: 978-989-8565-47-1

ISSN: 2184-4321

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.109.55

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, ISSN 2184-4321, pages 779-782. DOI: 10.5220/0004287907790782

@conference{visapp13,
author={Conte, D. 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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={779-782},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004287907790782},
isbn={978-989-8565-47-1},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Pupil Localization by a Template Matching Method
SN - 978-989-8565-47-1
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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.