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.

Pupil localization by a template matching method

CONTE, Donatello;FOGGIA, PASQUALE;PERCANNELLA, Gennaro;VENTO, Mario
2013-01-01

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.
2013
978-989856547-1
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4195854
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