In the Eye of the Beholder: A Survey of Models for Eyes and Gaze

IT University of Copenhagen · Rensselaer Polytechnic Institute

PubMed
Indexed incrossrefpubmed

Abstract

Despite active research and significant progress in the last 30 years, eye detection and tracking remains challenging due to the individuality of eyes, occlusion, variability in scale, location, and light conditions. Data on eye location and details of eye movements have numerous applications and are essential in face detection, biometric identification, and particular human-computer interaction tasks. This paper reviews current progress and state of the art in video-based eye detection and tracking in order to identify promising techniques as well as issues to be further addressed. We present a detailed review of recent eye models and techniques for eye detection and tracking. We also survey methods for gaze…

Citation impact

1,537
total citations
FWCI
63.01
Percentile
100%
References
178
Citations per year

Authors

2

Topics & keywords

Keywords
  • Gaze
  • Computer science
  • Artificial intelligence
  • Biometrics
  • Eye tracking
  • Computer vision
  • Identification (biology)
  • Human eye
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