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Eye Tracking Using Neural Network and Mean-Shift

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Computational Science and Its Applications - ICCSA 2006 (ICCSA 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3982))

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Abstract

In this paper, an eye tracking method is presented using a neural network (NN) and mean-shift algorithm that can accurately detect and track user’s eyes under the cluttered background. In the proposed method, to deal with the rigid head motion, the facial region is first obtained using skin-color model and connected-component analysis. Thereafter the eye regions are localized using neural network (NN)-based texture classifier that discriminates the facial region into eye class and non-eye class, which enables our method to accurately detect users’ eyes even if they put on glasses. Once the eye region is localized, they are continuously and correctly tracking by mean-shift algorithm. To assess the validity of the proposed method, it is applied to the interface system using eye movement and is tested with a group of 25 users through playing a ‘aligns games.’ The results show that the system process more than 30 frames/sec on PC for the 320×240 size input image and supply a user-friendly and convenient access to a computer in real-time operation.

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References

  1. Jacob, R.J.K.: Human-computer interaction: Input devices. ACM Computing Surveys 28(1) (1996)

    Google Scholar 

  2. Sharma, R., Pavlovic, V.I., Huang, T.S.: Toward multimodal human-computer interface. Proceedings of the IEEE 86(5), 853–869 (1998)

    Article  Google Scholar 

  3. Kaufman, A.E., Bandopadhay, A., Shaviv, B.D.: An Eye Tracking Computer User Interface. Virtual Reality. In: Proceedings of IEEE 1993 Symposium on Research Frontiers in, pp. 25–26 (1993)

    Google Scholar 

  4. Scassellati, B.: Eye finding via face detection for a foveated, active vision system. American Association for Artificial Intelligence (1998)

    Google Scholar 

  5. Kurata, T., Okuma, T., Kourogi, M., Sakaue, K.: The Hand Mouse: GMM Hand-color Classification and Mean Shift Tracking. In: Proc. Second International Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Real-time Systems (RATFG-RTS 2001) in conjunction with ICCV 2001, Vancouver, Canada, pp. 119–124 (2001)

    Google Scholar 

  6. Takami, N., Irie, K.C., Ishimatsu, T., Ochiai, T.: Computer interface to use head movement for handicapped people. In: TENCON 1996. Proceedings. 1996 IEEE TENCON. Digital Signal Processing Applications, 26-29 November, vol. 1, pp. 468–472 (1996)

    Google Scholar 

  7. Sako, H., Whitehouse, M., Smith, A., Sutherland, A.: Real-time facial-feature tracking based on matching techniques and its applications. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition, Computer Vision & Image Processing 1994, vol. 2(9-13), pp. 320–324 (1994)

    Google Scholar 

  8. Kim, S.-H., Kim, H.-G., Tchah, K.-H.: Object oriented face detection using range and color information. Electronics Letters 34(10,14), 979–980 (1998)

    Article  Google Scholar 

  9. Schiele, B., Waibel, A.: Gaze Tracking Based on Face-Color. School of Computer Science, Carnegie Mello University (1995)

    Google Scholar 

  10. Yang, J., Waibel, A.: A real-time face tracker. Applications of Computer Vision. In: Proceedings 3rd IEEE Workshop on WACV 1996, vol. 2-4, pp. 142–147 (1996)

    Google Scholar 

  11. Betke, M., Gips, J., Fleming, P.: The camera mouse: visual tracking of body features to provide computer access for people with severe disabilities. Neural Systems and Rehabilitation Engineering, IEEE Transactions on [see also IEEE Trans. on Rehabilitation Engineering] 10(1), 1–10 (2002)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Internet and Multimedia Engineering, Konkuk Univ., Korea

    Eun Yi Kim

  2. Department of Computer Engineering, Seoul National Univ., Korea

    Sin Kuk Kang

Authors
  1. Eun Yi Kim
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  2. Sin Kuk Kang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina Gavrilova

  2. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK

    C. J. Kenneth Tan

  5. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  6. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  7. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  8. School of Information and Communication Engineering, Sungkyunkwan University, Korea

    Hyunseung Choo

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© 2006 Springer-Verlag Berlin Heidelberg

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Kim, E.Y., Kang, S.K. (2006). Eye Tracking Using Neural Network and Mean-Shift. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_126

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  • DOI: https://doi.org/10.1007/11751595_126

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34075-1

  • Online ISBN: 978-3-540-34076-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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