Long-Range Gaze Tracking System for Large Movements

被引:21
作者
Cho, Dong-Chan [1 ]
Kim, Whoi-Yul [1 ]
机构
[1] Hanyang Univ, Dept Elect & Comp Engn, Seoul 133791, South Korea
关键词
Gaze tracking; infrared; long range; natural movement;
D O I
10.1109/TBME.2013.2266413
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In the vision-based remote gaze tracking systems, the most challenging topics are to allow natural movement of a user and to increase the working volume and distance of the system. Several eye gaze estimation methods considering the natural movement of a user have been proposed. However, their working volume and distance are narrow and close. In this paper, we propose a novel 2-D mapping-based gaze estimation method that allows large-movement of user. Conventional 2-D mapping-based methods utilize mapping function between calibration points on the screen and pupil center corneal reflection (PCCR) vectors obtained in user calibration step. However, PCCR vectors and their associated mapping function are only valid at or near to the position where the user calibration is performed. The proposed movement mapping function, complementing the user's movement, estimates scale factors between two PCCR vector sets: one obtained at the user calibration position and another obtained at the new user position. The proposed system targets a longer range gaze tracking which operates from 1.4 to 3 m. A narrow-view camera mounted on a pan and tilt unit is used by the proposed system to capture high-resolution eye image, providing a wide and long working volume of about 100 cm x 40 cm x 100 cm. The experimental results show that the proposed method successfully compensated the poor performance due to user's large movement. Average angular error was 0.8 degrees and only 0.07 degrees of angular error was increased while the user moved around 81 cm.
引用
收藏
页码:3432 / 3440
页数:9
相关论文
共 22 条
[1]  
[Anonymous], 2012, P S EYE TRACK RES AP, DOI [DOI 10.1145/2168556.2168570, 10.1145/2168556.2168570]
[2]  
[Anonymous], 2004, Proc. ACM Symp. Eye Tracking Res. Appl, DOI DOI 10.1145/968363.968387
[3]  
Beymer D, 2003, PROC CVPR IEEE, P451
[4]   Long Range Eye Gaze Tracking System for a Large Screen [J].
Cho, Dong-Chan ;
Yap, Wah-Seng ;
Lee, HeeKyung ;
Lee, Injae ;
Kim, Whoi-Yul .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2012, 58 (04) :1119-1128
[5]  
Dongheng L., 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, P79
[6]   In the Eye of the Beholder: A Survey of Models for Eyes and Gaze [J].
Hansen, Dan Witzner ;
Ji, Qiang .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (03) :478-500
[7]  
Hennessey Craig, 2006, Proceedings of the 2006 symposium on Eye tracking research applications, P87, DOI DOI 10.1145/1117309.1117349
[8]  
Hennessey Craig., 2012, P S EYE TRACK RES AP, P249, DOI DOI 10.1145/2168556.2168608
[9]   Improving the Accuracy and Reliability of Remote System-Calibration-Free Eye-Gaze Tracking [J].
Hennessey, Craig A. ;
Lawrence, Peter D. .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2009, 56 (07) :1891-1900
[10]  
Kolakowski S., 2006, P 2006 S EYE TRACKIN, P79, DOI [DOI 10.1145/1117309.1117348, 10.1145/1117309.1117348]