A 3D gaze estimation method based on facial feature tracking

Xinbo Zhao, Xiaochun Zou, Zheru Chi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

A 3D gaze estimation and tracking algorithm based on facial feature tracking is present in this paper. By using two cameras, 2D facial feature points are detected and tracked with Active Shape Models (ASM). Then, the 3D coordinates of the feature points on a face can be obtained by stereo vision. The full 3D pose of head is obtained by comparing the feature points of current pose with initial head pose. The head pose estimation eliminate the restraint of head movement. Based on a 3D eye model with facial feature points, 3D visual axis can be obtained by estimating the 3D pupil center and head pose after a one-time personal calibration. The experimental results show the accuracy of our gaze tracking system achieves less than 3 degree.
Original languageEnglish
Title of host publicationICCH 2012 Proceedings - International Conference on Computerized Healthcare
PublisherIEEE Computer Society
Pages9-12
Number of pages4
ISBN (Print)9781467351294
DOIs
Publication statusPublished - 1 Jan 2012
Event2012 International Conference on Computerized Healthcare, ICCH 2012 - Hong Kong, Hong Kong
Duration: 17 Dec 201218 Dec 2012

Conference

Conference2012 International Conference on Computerized Healthcare, ICCH 2012
CountryHong Kong
CityHong Kong
Period17/12/1218/12/12

Keywords

  • gaze estimation
  • gaze tracking
  • head pose
  • non-intrusive
  • stereo cameras

ASJC Scopus subject areas

  • Health Informatics

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