一种利用高速摄像机进行眼动分析的新方法

Krystian Radlak, B. Smolka
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引用次数: 22

摘要

本文提出了一种新的眨眼检测与分析方法。所描述的技术是基于空间和时间的导数计算的视频序列与高速摄像机获取的组合。根据混合梯度矢量的方向和大小将每一帧的像素分成两组,并利用其重心之间的距离来确定眼球运动特征。初步实验表明,该方法对眨眼的检测率较高,且不依赖于头部位置的变化。该技术还可用于分析眼球运动,并可用于监测人体疲劳、困倦和情绪状态的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel approach to the eye movement analysis using a high speed camera
In this paper a new method of eye blink detection and analysis is proposed. The described technique is based on a combination of spatial and temporal derivatives calculated in video sequences acquired with a high speed camera. The pixels of each frame are divided into two groups according to the direction and magnitude of the hybrid gradient vectors and the distance between their centers of gravity is used for the determination of the eye movement characteristics. Preliminary experiments revealed a high detection rate of eye blinks, which is not dependent on the change of head position. The proposed technique can also be used for the analysis of eye movements and can be utilized in systems which are monitoring human fatigue, drowsiness and emotional states.
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