PT Unknown
AU Onur Ferhat
   Arcadi Llanza
   Fernando Vilariño
TI A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios
BT Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015
PY 2015
BP 569
EP 576
VL 9117
DI 10.1007/978-3-319-19390-8_64
DE Eye tracking; Gaze estimation; Natural light; Webcam
AB We present an eye tracking system that works with regular webcams. We base our work on open source CVC Eye Tracker [7] and we propose a number of improvements and a novel gaze estimation method. The new method uses features extracted from iris segmentation and it does not fall into the traditional categorization of appearance–based/model–based methods. Our experiments show that our approach reduces the gaze estimation errors by 34 % in the horizontal direction and by 12 % in the vertical direction compared to the baseline system.
ER