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首页> 外文期刊>Pomiary Automatyka Kontrola >Automatic eye corners detection and tracking algorithm in sequence of thermal medical images
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Automatic eye corners detection and tracking algorithm in sequence of thermal medical images

机译：热医学图像序列中的自动眼角检测和跟踪算法

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摘要

The article presents automatic eye comers detection algorithms in thermal images. Its target application is to perform quick and unnoticed measurement of human body temperature. It is proved that the temperature of eyes' corners is the most reliable and stable temperature considering infrared imaging. That measurements were done manually so far. Our approach is to do this automatically and create complete system for measurement of core human body temperature in crowded places where it is impossible to do this in another way (for example on the airport, railway station). Such system could prevent people for spreading off the epidemic. Two proposed algorithms are presented: first based on morphological operations and geometric features of human face, second based on the cross-correlation and idea of pattern tracking. The selection of appropriate ROI size for reliable temperature extraction was tested according to the distance to person under observation.
机译：本文介绍了热图像中的自动眼角检测算法。它的目标应用是对人体温度进行快速而无人注意的测量。实践证明，考虑到红外成像，眼角温度是最可靠，最稳定的温度。到目前为止，这些测量都是手动完成的。我们的方法是自动执行此操作，并创建一个完整的系统以在无法通过其他方式执行此操作的拥挤场所（例如，在机场，火车站上）测量人体核心温度。这样的系统可以防止人们传播这种流行病。提出了两种算法：一种基于人脸的形态学运算和几何特征，其次基于互相关和模式跟踪的思想。根据与被观察者之间的距离，测试了用于可靠温度提取的合适ROI大小的选择。

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