A color based approach for eye blink detection in image sequences
A color based approach for eye blink detection in image sequences
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DOI：
10.1109/icsipa.2011.6144085
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发表时间：
2011-11
期刊：
影响因子：
--
通讯作者：
Axel Panning;A. Al-Hamadi;B. Michaelis
中科院分区：
文献类型：
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作者：
Axel Panning;A. Al-Hamadi;B. Michaelis
人眼在各种应用的背景下提供了有关精神状态的线索，例如压力，困惑和困倦。在这项工作中，我们提出了一种新的算法眨眼检测，通过利用周围的眼睛区域的颜色信息。此外，它能够检测眨眼以及相对眼睑运动。该算法处理头部的适当旋转，只要眼睛是可靠的检测。我们的方法是有效的，虽然很简单，因为不需要像眼睑或虹膜的离散眼睛特征的分割。结果表明，良好的性能上的非行动，真实的人机交互视频，其中允许受试者的行为随机。此外，我们将我们的结果与最先进的方法进行比较。
The human eye gives a clue about the mental state in the context of various applications such as stress, confusion and drowsiness. In this work we present a new algorithm for eye blink detection, by employing color information of the surrounding eye region. Moreover it is capable to detect eye blinks as well as relative eye lid movement. The algorithm handles decent rotations of the head, as long the eye is reliably detectable. Our approach is efficient though quite simple, since no segmentation of discrete eye features like lids or iris are required. The results show good performance on non-acted, real Human-Computer-Interaction videos, where subjects are allowed to behave randomly. Further, we compare our results to state of art methods.