@inproceedings{e030664904bc4e479b8ed44deaed43e9,
title = "Gaze tracking with particle swarm optimization",
abstract = "In order to develop the next generation of gaze tracking system that can operate under visible lighting conditions, the difficulty of estimating limbus circle in real time needs to be solved. The iris model-based approaches excel the feature-based ones, but high computation complexity remains a problem. This paper presents an advanced iris model-based matching algorithm which adopts particle swarm optimization (PSO) to improve the overall performance. As a result, the developed system achieves high accuracy and the objective of 30 frames.",
keywords = "gaze tracking, iris matching, particle swarm optimization (PSO)",
author = "Kao, {Wen Chung} and Lee, {Chia Yi} and Lin, {Chun Yi} and Su, {Ting Yi} and Ke, {Bai Yueh} and Liao, {Chung Yu}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Consumer Electronics, ISCE 2015 ; Conference date: 24-06-2015 Through 26-06-2015",
year = "2015",
month = aug,
day = "4",
doi = "10.1109/ISCE.2015.7177836",
language = "English",
series = "Proceedings of the International Symposium on Consumer Electronics, ISCE",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 International Symposium on Consumer Electronics, ISCE 2015",
}