论文标题
连续凝视跟踪以及移动设备上的隐性显着校准
Continuous Gaze Tracking With Implicit Saliency-Aware Calibration on Mobile Devices
论文作者
论文摘要
凝视跟踪是一种有用的人类到计算机界面，在一系列移动应用程序中起着越来越重要的作用。凝视校准是凝视跟踪必不可少的组成部分，它将眼坐标转换为屏幕坐标。凝视跟踪的现有方法要么具有有限的准确性，要么需要用户在校准方面的合作，进而损害了经验的质量。我们在本文中提出了Vgaze，在移动设备上使用隐式显着性校准进行连续的凝视跟踪。 Vgaze的设计源于我们对视觉显着性与用户目光之间的时间和空间依赖关系的见解。 Vgaze是一种轻巧的软件，可以通过“有用”的显着性信息来标识视频帧，感应用户的头部运动，仅使用“有用”框架执行机会校准，并利用历史信息来加速显着性检测。我们在商业移动设备上实施VGAZE，并在各种情况下评估其性能。结果表明，Vgaze可以在视频播放应用程序中实时使用。凝视跟踪的平均误差为1.51 cm（2.884度），带有历史信息，降至0.99 cm（1.891度），并带有指标0.57 cm（1.089度）。
Gaze tracking is a useful human-to-computer interface, which plays an increasingly important role in a range of mobile applications. Gaze calibration is an indispensable component of gaze tracking, which transforms the eye coordinates to the screen coordinates. The existing approaches of gaze tracking either have limited accuracy or require the user's cooperation in calibration and in turn hurt the quality of experience. We in this paper propose vGaze, continuous gaze tracking with implicit saliency-aware calibration on mobile devices. The design of vGaze stems from our insight on the temporal and spatial dependent relation between the visual saliency and the user's gaze. vGaze is implemented as a light-weight software that identifies video frames with "useful" saliency information, sensing the user's head movement, performs opportunistic calibration using only those "useful" frames, and leverages historical information for accelerating saliency detection. We implement vGaze on a commercial mobile device and evaluate its performance in various scenarios. The results show that vGaze can work at real time with video playback applications. The average error of gaze tracking is 1.51 cm (2.884 degree) which decreases to 0.99 cm (1.891 degree) with historical information and 0.57 cm (1.089 degree) with an indicator.
