Eye characteristic detection and gaze direction calculation in gaze tracking system

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24 9 Vol. 24 No. 9 Cont rol an d Decision 2009 9 Sep. 2009 : 100120920 (2009) 0921345206,,,, (, 100083) :., ;, ;., ;.. : ; ; ; : TP391. 41 : A Eye characteristic detection and gaze direction calculation in gaze tracking system C H I J i an2nan, Z H A N G Chuang, H U T ao, YA N Yan2t ao, L I U Yang ( School of Information and Engineering, University of Science and Technology Beijing, Beijing 100083, China. Correspondent : CHI Jian2nan, E2mail : sy_jnchi @126. com) Abstract : A gaze tracking method is proposed based on active inf rared source system. In the eye feature detection stage, p rojection method is applied to locate face. Symmetry axis of face is detected, potential region of pupil is found based on the knowledge about facial structure, and human eyes features can be precise segmented. In the eye2gaze modeling stage, a model with nonlinear polynomial to map the gaze parameters to gaze point under the circumstances of static head is set up. Then the deviation of gaze caused by different head position is compensated by GRNN neural network, so that nonlinear mapping f unction can be extended to any head position. So gaze can be estimated accurately under head movement. The experiment result s and the applications in interactive graphical system show the effectiveness of this method. Key words : Gaze tracking ; Gaze parameter ; Nonlinear polynomial ; Generalized regression neural network 1.. (VO G). VO G 2, ( ).,. 2. 2 ( IR),,., : 2009202225 ; : 2009204229. : (60574090) ; 863 (2007AA01Z160) ; (20064000400). : (1967 ),,,,, ; (1982 ),,,,.

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9 : 1349, g 4 ( X, Y) = f ( g). (5),. 8,, 9,.., 3. 1. GRNN, 0. 8, GRNN,,., ( ),,. 9 5. 9,, 45. 5,, 3.. 6 x., 284. 7, 2 5 50 100., 70, 20.,. 2,.,. 6 x x x y y x y 1175. 1 1181. 3 6. 1561 481. 63 476. 05-5. 5783 1 180 479 137. 8 114. 1-23. 7 897. 24 904. 75 7. 517 100 898 105. 77 86. 78-18. 99 880. 32 890. 54 10. 219 5 100 898 630. 34 641. 87 11. 534 902. 86 893. 33-9. 531 2 640 898 1128. 7 1176. 9 48. 176 918. 68 892. 35-26. 337 7 1 180 898 102. 98 114. 08 11. 101 49. 171 59. 652 10. 480 3 100 60 85. 509 99. 99 14. 481 54. 568 68. 684 14. 116 100 60 627. 76 635. 93 8. 174 6 54. 379 62. 784 8. 405 2 640 60 625. 63 634. 08 8. 447 1 65. 169 63. 824-1. 344 3 640 60 1173. 9 1181. 3 7. 4254 54. 569 55. 091 0. 5219 1 180 60

1350 24 5,.,,,,., GRNN,,.. ( References) [ 1 ] Technologies L C. Eyegaze systems [ EB/ OL ]. http :/ / www. eyegaze. com,2009201220. [ 2 ] Eyetech digital systems [ EB/ OL ]. http : / / www. eyetechds. com, 2008212210. [ 3 ] Tobii Technology, Danderyd, Sweden [ EB/ OL ]. http : / / www. tobii. se. 2008212210. [ 4 ] Applied science laboratories[ Online ]. http :/ / www. a2s2 l. com, 2008212210. [ 5 ] Ebisawa Y, Satoh S. Effectiveness of pupil area detection technique using two light sources and image difference method[ C]. Proc of the 15th Annual Int Conf of the IEEE Engineer in Medicine and Biology Society. San Diego, 1993 : 126821269. [ 6 ] Ebisawa Y. Improved video2based eye2gaze detection method[j ]. IEEE Trans on Instrument, 1998, 47 (2) : 9482955. [ 7 ] Morimoto C H, Koons D, Amir A, et al. Pupil detection and tracking using multiple light sources [ J ]. Image Vision Computer, 2000, 18 (4) : 3312336. [ 8 ] Morimoto C, Flickner M. Real2time multiple face detection using active illumination [ C ]. Proc 4th IEEE Int Conf on Automatic Face and Gesture Recognition. Grenoble, 2000 : 8213. [ 9 ] Haro A, Flickner M, Essa I. Detecting and tracking eyes by using their physiological properties, dynamics and appearance [ C ]. Proc IEEE CV PR 2000. South Carolina, 2000 : 106321069. [ 10 ] Ji Q, Yang X. Real time visual cues extraction for monitoring driver vigilance[ C]. Proc Int Workshop on Computer Vision Systems. Vancouver, 2001 : 1072 124. [ 11 ] Zhu Z W, Fujjmura K, Qiang J. Real2time eye detection and tracking under various light conditions [ C ]. Proc of ACM SIGCH I Symposium on Eye Tracking Research and Applications. New Orleans, 2002. [12 ] Zhu Z W, Qiang J. Robust real2time eye detection and tracking under variable lighting conditions and various face orientations [ J ]. Computer Vision and Image Understanding, 2005, 38 (1) : 1242154. [13 ] Qing J. Real2time eye, gaze and face pose tracking for monitoring driver vigilance [ J ]. Real2Time Imaging, 2002, 8 (5) : 107722014. [ 14 ] Zhu Z, Ji Q. Eye and gaze tracking for interactive graphic display[j ]. Machine Vision Application, 2004, 15 (3) : 1392148. [ 15 ] Kim S C. Non2intrusive eye gaze tracking under natural head movements[ C]. Proc of the 26th Annual Int Conf of the IEEE. San Francisco, 2004 : 227222273. [ 16 ] Qing J, Zhu Z W. Real2time nonintrusive monitoring and prediction of driver fatigue [ J ]. IEEE Trans on Vehicular, 2004, 53 (4) : 106021061. [17 ] Shih S W, Liu J. A novel approach to 3D gaze tracking using stereo cameras[j ]. IEEE Trans of Systems, Man and Cybernetics, 2004, 34 (1) : 2342245. [ 18 ] Christian Hoff mann, Thao Dang, Christoph Stiller. Vehicle detection fusing 2D visual features [ C ]. IEEE Intelligent Vehicles Symposium University of Parma. Parma, 2004, 7 : 14217. ( 1344 ) [7 ]. Kalman [ M ]. :, 2003. ( Fu M Y. Kalman filtering theory and It s application on navigation system[ M ]. Beijing : Science Press, 2003. ) [ 8 ] J amshaid A, Fang J C. SINS/ ANS/ GPS integration using federated Kalman filter based on optimized information2sharing Coefficient s [ C ]. AIAA. New York : NASA, 2005 : 602826039. [9 ],,. [J ]., 2006, 4 (8) : 7210. ( Sun L X, Mu R J, Cui N G. Theoretical and simulation study on general model of federated filtering with multi2sensor information f usion [ J ]. Aero Weaponry, 2006, 4 (8) : 7210. ) [10 ],. [J ]., 2007, 1 (1) : 6211. ( Mu R J, Cui N G. Hierarchical multistage and rescale information f usion method for multisensor integrated navigation[ J ]. Aerospace Shanghai, 2007, 1 ( 1) : 62 11. )