基于频率图像处理方法的主动眼动追踪系统

Chao-Ning Chan, S. Oe
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引用次数: 0

摘要

【摘要】为了改善人眼在不同光照条件下的中心协调效果,采用频率图像处理方法开发了一种新的主动眼动追踪系统。在本文中,我们提出了使用四个PTZ相机来跟踪面部和眼睛;此外,我们使用频率图像处理方法进行图像补偿,该方法可以计算眼睛的中心位置,并改进了低照度下的人脸检测。在所有的任务中,频率图像处理方法能够分离瞳孔和眼睛的白色,并且在各种光环境下的特征检测也得到了改进。用户的注视点根据眼睛和面部的位置计算,并通过认知校准方法进行校准。我们的系统为用户提供了更好的可用性,用户现在可以不受任何限制地操作系统。眼球追踪系统能够实时计算眼球注视,从而提供响应性交互。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active Eye-tracking System Using Frequency Image Processing Method
〈Summary〉 A new active eye-tracking system has been developed using the frequency image processing method in order to improve the effects of the central coordination of eyes when investigated under various lighting conditions. In this paper, we have proposed the use of quad PTZ cameras to track the face and eye; further, we use image compensation with the frequency image processing method, which can compute the central position of the eye and face detection improvements under low illumination levels. In all the tasks, the frequency image processing method was able to separate the pupil and the white of the eye, and further, feature detection under various light environments was also improved. The user’s gaze points are calculated on the basis of the position of the eyes and face and calibrated by cognitive calibration methods. Our system provides better usability for the user who can now operate the system without any restrictions. The eye-tracking system is capable of calculating eye gaze in real-time to provide a responsive interaction.
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