A Novel Method for Eye Tracking and Blink Detection in video frames

被引：0

作者：

Pauly, Leo ^{[1
]}

Sankar, Deepa ^{[1
]}

机构：

[1] Cochin Univ Sci & Technol, Sch Engn, Div Elect & Commun Engn, Kochi 682022, Kerala, India

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER GRAPHICS, VISION AND INFORMATION SECURITY (CGVIS) | 2015年

关键词：

Eye tracking; blink detection; Haar based cascade classifier; SVM; HOG feature; APPEARANCE;

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：

This paper presents a novel method for eye tracking and blink detection in the video frames obtained from low resolution consumer grade web cameras. It uses a method involving Haar based cascade classifier for eye tracking and a combination of HOG features with SVM classifier for eye blink detection. The presented method is non intrusive and hence provides a comfortable user interaction. The eye tracking method has an accuracy of 92.3% and the blink detection method has an accuracy of 92.5% when tested using standard databases and a combined accuracy of 86% when tested under real world conditions of a normal room.

引用

页码：252 / 257

页数：6

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