Towards a low cost and high speed mobile eye tracker

F. H. Borsato, C. Morimoto
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引用次数: 3

Abstract

Despite recent developments in eye tracking technology, mobile eye trackers (ET) are still expensive devices limited to a few hundred samples per second. High speed ETs (closer to 1 KHz) can provide improved flexibility for data filtering and more reliable event detection. To address these challenges, we present the Stroboscopic Catadioptric Eye Tracking (SCET) system, a novel approach for mobile ET based on rolling shutter cameras and stroboscopic structured infrared lighting. SCET proposes a geometric model where the cornea acts as a spherical mirror in a catadioptric system, changing the projection as it moves. Calibration methods for the geometry of the system and for the gaze estimation are presented. Instead of tracking common eye features, such as the pupil center, we track multiple glints on the cornea. By carefully adjusting the camera exposure and the lighting period, we show how one image frame can be divided into several bands to increase the temporal resolution of the gaze estimates. We assess the model in a simulated environment and also describe a prototype implementation that demonstrates the feasibility of SCET, which we envision as a step further in the direction of a mobile, robust, affordable, and high-speed eye tracker.
朝着低成本、高速移动眼动仪的方向发展
尽管最近眼动追踪技术有所发展,但移动眼动追踪器(ET)仍然是昂贵的设备,每秒只能检测几百个样本。高速et(接近1 KHz)可以为数据过滤提供更好的灵活性和更可靠的事件检测。为了解决这些挑战,我们提出了频闪反射眼动追踪(SCET)系统,这是一种基于滚动快门相机和频闪结构红外照明的移动ET新方法。SCET提出了一种几何模型,其中角膜在反射系统中充当球面镜,随着它的移动而改变投影。给出了系统几何形状的标定方法和注视估计的标定方法。我们不是追踪常见的眼睛特征,比如瞳孔中心,而是追踪角膜上的多次闪烁。通过仔细调整相机曝光和照明周期,我们展示了如何将一帧图像分成几个波段来增加凝视估计的时间分辨率。我们在模拟环境中评估了该模型,并描述了一个原型实现,证明了SCET的可行性,我们认为这是朝着移动、强大、经济、高速眼动仪的方向迈出的一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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