Two competitive solutions to the problem of remote Eye-Tracking

被引:0
|
作者
Crisafulli, G. [1 ]
Iannizzotto, G. [1 ]
La Rosa, F. [1 ]
机构
[1] Univ Messina, Visilab, Fac Engn, Messina, Italy
关键词
image analysis; eye-tracking; competitive approach; boosting; FACE;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present an innovative approach to the problem of the eye-tracking. Traditional eye-detectors, chosen for own properties, are combined by two different competitive schemes to improve own robustness and reliability. To illustrate our work, and validate the idea that employing multiple trackers is advantageous in forming a globally strong tracking methodology, we introduce a proof-of-concept single camera remote eye-tracker and discuss its implementation and the obtained experimental results.
引用
收藏
页码:353 / 359
页数:7
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