TY  - CONF
AU  - Onur Ferhat
AU  - Arcadi Llanza
AU  - Fernando Vilariño
A2  - IbPRIA
PY  - 2015//
TI  - A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios
T2  - LNCS
BT  - Pattern Recognition and Image Analysis, Proceedings of 7th Iberian Conference , ibPRIA 2015
SP  - 569
EP  - 576
VL  - 9117
PB  - Springer International Publishing
KW  - Eye tracking
KW  - Gaze estimation
KW  - Natural light
KW  - Webcam
N2  - 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.
SN  - 0302-9743
SN  - 978-3-319-19389-2
UR  - http://dx.doi.org/10.1007/978-3-319-19390-8_64
N1  - MV;SIAI
ID  - Onur Ferhat2015
ER  -