On Tracking of Eye for Human-Robot Interface

M.A. Bhuiyan, V. Ampornaramveth, S. Muto, and H. Ueno

References

  1. [1] K.W. Wong, K.M. Lam, & W.C. Siu, An efficient algorithmfor human face detection and facial feature extraction underdifferent conditions, Pattern Recognition, 34 (10), 2001, 1993–2004. doi:10.1016/S0031-3203(00)00134-5
  2. [2] Y.S. Ryu & S.Y. Oh, Automatic extraction of eye and mouthfields from a face image using eigenfeatures and multilayerperceptrons, Pattern Recognition, 34 (12), 2001, 2459–2466. doi:10.1016/S0031-3203(00)00173-4
  3. [3] J.G. Wang & E. Sung, Gaze determination via images of irises,Image and Vision Computing, 19 (12), 2001, 891–911. doi:10.1016/S0262-8856(01)00051-8
  4. [4] K.R. Park & J. Kim, Gaze point detection by computing the3D positions and motion of face, IEICE Trans. on Informationand Systems, E83-D(4), 2000, 884–894.
  5. [5] A.L. Yuille, P.W. Hallnan, & D.S. Cohen, Feature extractionfrom faces using deformable templates, International Journalof Computer Vision, 8 (2), 1992, 99–111. doi:10.1007/BF00127169
  6. [6] X. Xie, R. Sudhakar, & H. Azhang, On improving eye featureextraction using deformable templates, Pattern Recognition,17 (4), 1994, 791–799. doi:10.1016/0031-3203(94)90164-3
  7. [7] K.M. Lam & H. Yan, Locating and extracting the eye in humanface images, Pattern Recognition, 29 (5), 1996, 771–779. doi:10.1016/0031-3203(95)00119-0
  8. [8] K.C. Yow & R.C. Cipolla, Finding initial estimates of humanface location, Proc. 2nd Asian Conf. on Computer Vision,Singapore, 1995, 514–518.
  9. [9] Y. Sumi & Y. Ohta, Detection of face orientation and facialcomponents using distributed appearance modeling, Proc. Int.Workshop on Automatic Face and Gesture Recognition, Zurich,1995, 254–259.
  10. [10] T. Leung, M. Burl, & P. Perona, Finding faces in clutteredscenes using labelled random graph matching, Proc. 5th Int.Conf. on Computer Vision, MIT, Boston, USA, 1995, 637–644. doi:10.1109/ICCV.1995.466878
  11. [11] D. Tampe, Heuristic filtering and reliable calibration methods for video based pupil-tracking systems, Instruments and Computers, 25 (2), 1990, 137–142.
  12. [12] S. Baluja & D. Pomerleau, Non-intrusive gaze tracking usingartificial neural networks, Technical Report CMU-CS-94-102,Carnegie-Mellon University, Pittsburgh, USA, 1994.
  13. [13] S. Pastoor, J. Liu, & S. Renault, An experimental multimediasystem allowing 3D visualization and eye-controlled interactionwithout user-worn devices, IEEE Trans. on Multimedia, 1 (1),1999, 41–52. doi:10.1109/6046.748170
  14. [14] Y.S. Chen, C.H. Su, & J.H. Chen, Video-based real time eyetracking technique for auto-stereoscopic displays, Proc. 5thInt. Conf. on Artificial Intelligence and Applications, Taiwan,2000, 188–193.
  15. [15] Y. Matsumoto & A. Zelinsky, An algorithm for real-timestereo vision implementation of head pose and gaze directionmeasurement, Proc. IEEE 4th Int. Conf. on Face and GestureRecognition, Grenoble, France, 2000, 499–505. doi:10.1109/AFGR.2000.840680
  16. [16] A. Gee & R. Cipolla, Fast visual tracking by temporal consensus, Image and Vision Computing, 14 (2), 1996, 105–114. doi:10.1016/0262-8856(95)01044-0
  17. [17] J. Heinzmann & A. Zelinsky, 3-D facial pose and gaze pointestimation using a robust real-time tracking paradigm, Proc.Int. Conf. on Automatic Face and Gesture Recognition, Nara,Japan, 1998, 142–147. doi:10.1109/AFGR.1998.670939
  18. [18] K. Ohmura, A. Tomono, & Y. Kobayashi, Pointing operationusing detection of face direction from a single view, IEICETrans. on Information and Systems, J72-D-II (9), 1989, 1441–1447.
  19. [19] P. Ballard & G. Stockman, Controlling a computer via facialaspect, IEEE Trans. on Systems, Man and Cybernetics, 25 (4),1995, 669–677. doi:10.1109/21.370199
  20. [20] M.A. Bhuiyan, V. Ampornaramveth, S. Muto, & H. Ueno, Facedetection and facial feature extraction, Proc. Int. Conf. onComputers and Information Technology, Dhaka, Bangladesh,2000, 270–274.
  21. [21] R.S. Feris, T.E. Campos, & R.M.C. Junior, Detection andtracking of facial features in video sequences, Lecture Notes inArtificial Intelligence, 1793, 2000, 197–206.
  22. [22] S.H. Kim, Y.J. Suh, K.N. Kim, J.G. Ko, & R.S. Ramakrishna,Design of parallel processing system for face tracking, Proc.’98 Korea Information Science Society Fall Conf., 25(2), 1998,765–767.
  23. [23] S.J. McKenna, Y. Raja, & S. Gong, Tracking color objectsusing adaptive mixture models, Image and Vision Computing,17 (3), 1999, 225–231. doi:10.1016/S0262-8856(98)00104-8
  24. [24] D. Androutsos, K.N. Plataniotis, & A.N. Venetsanopoulos, Anovel vector-based approach to color image retrieval using avector angular-based distance measure, Computer Vision andImage Understanding, 75 (1), 1999, 46–57. doi:10.1006/cviu.1999.0767
  25. [25] J. Yang, W. Lu, & A. Waibel, Skin-color modeling andadaptation, Proc. Asian Conf. on Computer Vision, 2, HongKong, China, 1998, 687–694.
  26. [26] T. Yoo & I. Oh, A fast algorithm for tracking human facesbased on chromatic histograms, Pattern Recognition Letters,20 (10), 1999, 967–978. doi:10.1016/S0167-8655(99)00053-7
  27. [27] R. Stiefelhagen, J. Yang, & A. Waibel, Tracking eyes andmonitoring eye gaze, Proc. Workshop on Perceptual UserInterface, Banff, Canada, 1997, 98–100.
  28. [28] J. Wang & T. Tan, A new face detection method based onshape information, Pattern Recognition Letters, 21 (6), 1999,463–471. doi:10.1016/S0167-8655(00)00008-8
  29. [29] J.G. Wang & E. Sung, Frontal-view face detection and facialfeature extraction using color and morphological operations,Pattern Recognition Letters, 20 (10), 1999, 1053–1068. doi:10.1016/S0167-8655(99)00072-0
  30. [30] G.C. Feng & P.C. Yuen, Multi-cues eye detection on grayintensity image, Pattern Recognition, 34 (5), 2001, 1033–1046. doi:10.1016/S0031-3203(00)00042-X
  31. [31] J.G. Ko, K.N. Kim, & R.S. Ramakrishna, Facial featuretracking for eye-head controlled human computer interface,IEEE TENCON’99, Cheju, Korea, 1999, 72–75. doi:10.1109/TENCON.1999.818352
  32. [32] G. Wei & I.K. Sethi, Face detection for image annotation,Pattern Recognition Letters, 20 (11), 1999, 1313–1321. doi:10.1016/S0167-8655(99)00100-2
  33. [33] T. Minami & O. Nakamura, Image science and technology(Tokyo: Corona, 1989).
  34. [34] M.A. Bhuiyan & H. Hama, Line image keywords for Ukiyoepicture DB, IPSJ Symposium Series, 99 (13), 1999, 5–12.
  35. [35] M.A. Bhuiyan, Image keywords for intelligent picture database,doctoral diss., Osaka City University, Japan, 2000.
  36. [36] K.R. Park & J. Kim, Gaze point detection by computing the3D positions and motion of face, IEICE Trans. on Informationand Systems, E83-D(4), 2000, 884–894.
  37. [37] R.Y. Plastock & G. Kalley, Theory and problems of computergraphics (New York: McGraw-Hill, 1986).
  38. [38] M.M. Sein, M.A. Bhuiyan, & H. Hama, On a method toestimate the relative position and orientation of the camerato a triangle, Proc. Int. Conf. on Neural Networks and Brain,Beijing, China, 1998, 539–542.
  39. [39] R.C. Gonzalez & R.E. Woods, Digital image processing (NewYork: Addison-Wesley, 1992).
  40. [40] K.N. Kim & R.S. Ramakrishna, Vision-based eye-gaze trackingfor human computer interface, IEEE Int. Conf. on Systems,Man and Cybernetics, Tokyo, 1999, 324–329. doi:10.1109/ICSMC.1999.825279
  41. [41] A.T. Duchowski, V. Shivashankaraiah, T. Rawls, A.K.Gramopadhye, M.J. Melloy, & B. Kanki, Binocular eye tracking in virtual reality for inspection training, Eye Tracking Research & Applications Symp., Palm Beach, FL, USA, 2000, 89–96. doi:10.1145/355017.355031
  42. [42] S.E. Palmer, Vision science: Photons to phenomenology: Visual selection: Eye movements and attention (Cambridge, MA: MIT Press, 1999).

Important Links:

Go Back