Eye gaze tracking using correlation filters

Mahmut Karakaya, David Bolme, Chris Boehnen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we studied a method for eye gaze tracking that provide gaze estimation from a standard webcam with a zoom lens and reduce the setup and calibration requirements for new users. Specifically, we have developed a gaze estimation method based on the relative locations of points on the top of the eyelid and eye corners. Gaze estimation method in this paper is based on the distances between top point of the eyelid and eye corner detected by the correlation filters. Advanced correlation filters were found to provide facial landmark detections that are accurate enough to determine the subjects gaze direction up to angle of approximately 4-5 degrees although calibration errors often produce a larger overall shift in the estimates. This is approximately a circle of diameter 2 inches for a screen that is arm's length from the subject. At this accuracy it is possible to figure out what regions of text or images the subject is looking but it falls short of being able to determine which word the subject has looked at.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationMachine Vision Applications VII
PublisherSPIE
ISBN (Print)9780819499417
DOIs
StatePublished - 2014
EventImage Processing: Machine Vision Applications VII - San Francisco, CA, United States
Duration: Feb 3 2014Feb 4 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9024
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceImage Processing: Machine Vision Applications VII
Country/TerritoryUnited States
CitySan Francisco, CA
Period02/3/1402/4/14

Keywords

  • Eye tracking
  • correlation filters
  • gaze estimation

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