Eye blink detection using monocular system and its applications
Eye blink detection using monocular system and its applications
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DOI：
10.1109/roman.2012.6343840
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发表时间：
2012-11
期刊：
影响因子：
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通讯作者：
Koichi Takahashi;Y. Mitsukura
中科院分区：
文献类型：
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作者：
Koichi Takahashi;Y. Mitsukura
在本文中，我们提出了一种实用的单目系统的眨眼检测方法。眨眼检测在人脸动作分析、信号处理等许多场合都是一项重要技术。然而，由于眨眼发生得很快，自动眨眼检测相当困难。因此，在实际环境中需要快速的头部跟踪和眼睛检测方法。该方法基于基于粒子滤波的人脸特征点跟踪算法。虽然我们的系统只需要一个USB摄像头，但该方法的工作速度超过60fps，能够实时检测出准确的眨眼动作。为了验证系统的有效性，我们使用我们的眨眼检测系统展示了一些应用。
In this paper, we propose a practical method for eye blink detection using a monocular system. Eye blink detection is an important technology in many situations such as facial action analysis and signal processing. However, automatic eye blink detection is quite difficult since the eye blink is occurred fast. Fast head tracking and eye detection methods are therefore required in real environment. The proposed method is based on the facial feature point tracking algorithm by using particle filtering. The proposed method works at over 60fps and is able to detect accurate blink motion in real time although our system require only one USB camera. In order to confirm the effectiveness, we show some of applications using our blink detection system.