Abstract
The current research work has developed two novel algorithms for image-based measurement of Percentage Closure of Eyes-PERCLOS and Saccadic Ratio-SR. The PERCLOS is estimated by correlation filter-based technique. An innovative combination of gray scale and Near Infrared sensitive camera with passive NIR illuminator helps to achieve higher accuracy than the existing art. Two novel techniques have been developed for the detection of iris centre and eye corners. We propose an index called Form Factor to find the iris position. The saccadic velocity profile can be estimated from the temporal information of the iris positions using standard tracking algorithm such as Extended Kalman filter. Experimental results indicate that the estimation of both SR and PERCLOS can predict the level of alertness of an operator from onset of diminished alertness to fatigue.
Abstract (translated)
当前的研究工作开发了两种新的算法,用于基于图像测量眼睛闭上百分比的方法-PERCLOS和运动视野比例-SR。PERCLOS是通过相关滤波技术估计的。与现有技术相比,采用了灰度图像和近红外敏感相机,并配备了 passive 红外照明器的创新组合,可以提高精度。为了检测瞳孔中心和眼角落,我们提出了名为形式因子的指标,以找到瞳孔位置。通过使用扩展 Kalman 滤波等标准跟踪算法,可以使用标准跟踪算法来估计瞳孔位置的运动速度分布。实验结果表明,SR 和 PERCLOS的估计可以预测操作员从降低警觉度到疲劳程度的警觉水平。
URL
https://arxiv.org/abs/2301.12799
