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Driver's eye-based gaze tracking system by one-point calibration

机译:一站式校准,基于驾驶员眼睛的注视跟踪系统

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摘要

The accuracies of driver's gaze detection by previous researches are affected by the various sitting positions and heights of drivers in case that initial calibration of driver is not performed. By using dual cameras, the driver's calibration can be omitted, but processing time with complexity is increased. In addition, the problem of disappearing corneal specular reflection (SR) in the eye image as the driver severely turns his/her head has not been dealt in previous researches. To consider these issues, we propose a gaze tracking method based on driver's one-point calibration using both corneal SR and medial canthus (MC) based on maximum entropy criterion. An experiment with collected data from 26 subjects (wearing nothing, glasses, sunglasses, hat, or taking various hand pose) in a vehicle, showed that the accuracy of the proposed method is higher than that of other gaze tracking methods. In addition, we showed the effectiveness of our method in the real driving environment.
机译:在不进行驾驶员的初始校准的情况下,以前的研究对驾驶员的视线检测的准确性受到驾驶员的各种坐姿和身高的影响。通过使用双摄像头,可以省略驾驶员的校准,但是处理时间复杂。另外,在先前的研究中还没有解决随着驾驶员严重转动他/她的头部而使眼睛图像中的角膜镜面反射(SR)消失的问题。考虑到这些问题,我们提出了一种基于驾驶员最大点熵的注视跟踪方法,该方法使用角膜SR和内侧can(MC)进行驾驶员的单点校准。一项从26名受试者(不穿衣服,戴眼镜,太阳镜,戴帽子或采取各种手势)收集的数据进行的实验表明,该方法的准确性高于其他凝视跟踪方法。此外,我们展示了我们的方法在真实驾驶环境中的有效性。

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