Improving the robustness of gaze tracking under unconstrained illumination conditions

Kwang Hyun Uhm, Mun Cheon Kang, Joon Yeon Kim, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)20603-20616
Number of pages14
JournalMultimedia Tools and Applications
Volume79
Issue number29-30
DOIs
Publication statusPublished - 2020 Aug 1

Keywords

  • Gaze tracking
  • Human computer interaction

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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