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Improving the robustness of gaze tracking under unconstrained illumination conditions

Authors
Uhm, Kwang-HyunKang, Mun-CheonKim, Joon-YeonKo, Sung-Jea
Issue Date
8월-2020
Publisher
SPRINGER
Keywords
Gaze tracking; Human computer interaction
Citation
MULTIMEDIA TOOLS AND APPLICATIONS, v.79, no.29-30, pp.20603 - 20616
Indexed
SCIE
SCOPUS
Journal Title
MULTIMEDIA TOOLS AND APPLICATIONS
Volume
79
Number
29-30
Start Page
20603
End Page
20616
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/53888
DOI
10.1007/s11042-020-08679-y
ISSN
1380-7501
Abstract
In human-computer interaction (HCI) applications, the performance degradation of gaze trackers in real-world environments is a critical issue. Typically, gaze trackers utilize the pupil center and corneal reflection (CR) obtained from an infrared (IR) light source to estimate the point of regard (POR). However, false CRs are often generated due to extraneous light sources such as sunlight or lamps. In this study, we propose a method of improving the robustness of gaze tracking under unconstrained illumination conditions. First, the proposed method generates a coded CR pattern by utilizing time-multiplexed IR light sources. Next, the CR candidates are detected in eye images, and their coordinates are compensated based on the head and eye movements of the user. Finally, true CRs are selected from the motion-compensated CR candidates by utilizing a novel cost function. Experimental results indicate that the gaze-tracking performance of the proposed method under various light conditions is considerably better than those of the conventional methods.
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