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.
|Titolo:||Pupil localization by a template matching method|
|Data di pubblicazione:||2013|
|Appare nelle tipologie:||4.1.2 Proceedings con ISBN|