Appearance-based gaze tracking with free head movement

Chih Chuan Lai, Yu Ting Chen, Kuan-Wen Chen, Shen Chi Chen, Sheng Wen Shih, Yi Ping Hung

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

14 Scopus citations

Abstract

In this work, we develop an appearance-based gaze tracking system allowing user to move their head freely. The main difficulty of the appearance-based gaze tracking method is that the eye appearance is sensitive to head orientation. To overcome the difficulty, we propose a 3-D gaze tracking method combining head pose tracking and appearance-based gaze estimation. We use a random forest approach to model the neighbor structure of the joint head pose and eye appearance space, and efficiently select neighbors from the collected high dimensional data set. Li-optimization is then used to seek for the best solution for regression from the selected neighboring samples. Experiment results shows that it can provide robust binocular gaze tracking results with less constraints but still provides moderate estimation accuracy of gaze estimation.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1869-1873
Number of pages5
ISBN (Electronic)9781479952083
DOIs
StatePublished - 4 Dec 2014
Event22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, Sweden
Duration: 24 Aug 201428 Aug 2014

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

Conference

Conference22nd International Conference on Pattern Recognition, ICPR 2014
CountrySweden
CityStockholm
Period24/08/1428/08/14

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