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

研究成果: 書貢獻/報告類型會議貢獻

17 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
主出版物標題Proceedings - International Conference on Pattern Recognition
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1869-1873
頁數5
ISBN(電子)9781479952083
DOIs
出版狀態已發佈 - 12月 4 2014
事件22nd International Conference on Pattern Recognition, ICPR 2014 - Stockholm, 瑞典
持續時間: 8月 24 20148月 28 2014

出版系列

名字Proceedings - International Conference on Pattern Recognition
ISSN(列印)1051-4651

會議

會議22nd International Conference on Pattern Recognition, ICPR 2014
國家/地區瑞典
城市Stockholm
期間8/24/148/28/14

ASJC Scopus subject areas

  • 電腦視覺和模式識別

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