A Robust Eye Tracking Procedure for Medical and Industrial Applications

被引：0

作者：

De Santis, Alberto ^{[1
]}

Iacoviello, Daniela ^{[1
]}

机构：

[1] Univ Roma La Sapienza, Dept Informat & Sistemist A Ruberti, I-00185 Rome, Italy

来源：

ADVANCES IN COMPUTATIONAL VISION AND MEDICAL IMAGE PROCESSING: METHODS AND APPLICATIONS | 2009年 / 13卷

关键词：

GAZE; SEGMENTATION;

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：

An efficient eye tracking procedure is presented providing a non-invasive method for real time detection of a subject pupils in a sequence of frames captured by low cost equipment. The procedure can be easily adapted to any application relying on eye tracking. The eye pupil identification is performed by a hierarchical optimal segmentation procedure: a contextual picture zoning yielding the eyes position, and a further binarization extracting the pupils coordinates. No eye movement model is required to predict the future eyes position to restrict the image searching area, since the procedure first step is fast enough to obtain a frame to frame eyes position update.

引用

页码：173 / 185

页数：13

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