Title :
Gaze tracking with particle swarm optimization
Author :
Wen-Chung Kao ; Chia-Yi Lee ; Chun-Yi Lin ; Ting-Yi Su ; Bai-Yueh Ke ; Chung-Yu Liao
Author_Institution :
Dept. Electr. Eng., Nat. Taiwan Normal Univ., Taipei, Taiwan
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 :
computational complexity; gaze tracking; image matching; iris recognition; particle swarm optimisation; advanced iris model-based matching algorithm; computation complexity; gaze tracking; iris model-based approaches; limbus circle; particle swarm optimization; visible lighting conditions; Accuracy; Feature extraction; Fitting; Gaze tracking; Iris; Particle swarm optimization; Signal processing algorithms; gaze tracking; iris matching; particle swarm optimization (PSO);
Conference_Titel :
Consumer Electronics (ISCE), 2015 IEEE International Symposium on
Conference_Location :
Madrid
DOI :
10.1109/ISCE.2015.7177836
