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Webcam-Based Visual Gaze Estimation Under Desktop Environment

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9490))

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Abstract

Image-based visual gaze estimation has been widely used in various scientific and application-oriented disciplines. However, the high cost and tedious calibration procedure impede its generalization in real scenarios. In this paper, we develop a low cost yet effective webcam based visual gaze estimation system. Different from previous works, we aim at minimizing the system cost, and at the same time, making the system more flexible and feasible to users. More specifically, only a single ordinary webcam is used in our system. Meanwhile, we also proposed a novel calibration mechanism which takes account binocular feature vectors simultaneously, and uses only four visual target points. We compare our system with the state of the art webcam based visual gaze estimation methods. Experimental results demonstrate that our system can achieve satisfactory performance without the requirements of dedicated hardware or tedious calibration procedure.

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References

  1. Bai, L., Shen, L., Wang, Y.: A novel eye location algorithm based on radial symmetry transform. In: International Conference on Pattern Recognition, vol. 3, pp. 511–514. IEEE (2006)

    Google Scholar 

  2. Bengoechea, J.J., Cerrolaza, J.J., Villanueva, A., Cabeza, R.: Evaluation of accurate eye corner detection methods for gaze estimation. In: International Workshop, Pervasive Eye Tracking Mobile Eye-Based Interaction (2013)

    Google Scholar 

  3. Cheung, Y.M., Peng, Q.: Eye gaze tracking with a web camera in a desktop environment. IEEE Trans. Hum. Mach. Syst. 45(4), 419–430 (2015)

    Article  Google Scholar 

  4. Cootes, T.F., Edwards, G.J., Taylor, C.J.: Active appearance models. IEEE Trans. Pattern Anal. Mach. Intell. 23(6), 681–685 (2001)

    Article  Google Scholar 

  5. Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models-their training and application. Comput. Vis. Image Underst. 61(1), 38–59 (1995)

    Article  Google Scholar 

  6. Daugman, J.: How iris recognition works. IEEE Trans. Circ. Syst. Video Technol. 14(1), 21–30 (2004)

    Article  Google Scholar 

  7. Djamasbi, S., Siegel, M., Tullis, T.: Visual hierarchy and viewing behavior: an eye tracking study. In: Jacko, J.A. (ed.) Human-Computer Interaction, Part I, HCII 2011. LNCS, vol. 6761, pp. 331–340. Springer, Heidelberg (2011)

    Google Scholar 

  8. Duchowski, A.: Eye Tracking Methodology: Theory and Practice, vol. 373. Springer Science & Business Media, London (2007)

    MATH  Google Scholar 

  9. Guestrin, E.D., Eizenman, E.: General theory of remote gaze estimation using the pupil center and corneal reflections. IEEE Trans. Biomed. Eng. 53(6), 1124–1133 (2006)

    Article  Google Scholar 

  10. Hansen, D.W., Ji, Q.: In the eye of the beholder: a survey of models for eyes and gaze. IEEE Trans. Pattern Anal. Mach. Intell. 32(3), 478–500 (2010)

    Article  Google Scholar 

  11. Hansen, D.W., Pece, A.E.: Eye tracking in the wild. Comput. Vis. Image Underst. 98(1), 155–181 (2005)

    Article  Google Scholar 

  12. Ince, I.F., Kim, J.W.: A 2d eye gaze estimation system with low-resolution webcam images. EURASIP J. Adv. Sig. Process. 2011(1), 1–11 (2011)

    Article  Google Scholar 

  13. Lee, J.W., Heo, H., Park, K.R.: A novel gaze tracking method based on the generation of virtual calibration points. Sensors 13(8), 10802–10822 (2013)

    Article  Google Scholar 

  14. Loy, G., Zelinsky, A.: A fast radial symmetry transform for detecting points of interest. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002, Part I. LNCS, vol. 2350, pp. 358–368. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  15. Lv, Z., Feng, L., Li, H., Feng, S.: Hand-free motion interaction on google glass. In: SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications (2014)

    Google Scholar 

  16. Lv, Z., Halawani, A., Feng, S., Rhman, S.U., Li, H.: Touch-less interactive augmented reality game on vision based wearable device. Pers. Ubiquit. Comput. 19(3–4), 551–567 (2015)

    Article  Google Scholar 

  17. Majaranta, P.: Gaze Interaction and Applications of Eye Tracking: Advances in Assistive Technologies. IGI Global, Hershey (2011)

    Google Scholar 

  18. Alabort-i-Medina, J., Qu, B., Zafeiriou, S.: Statistically learned deformable eye models. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014 Workshops. LNCS, vol. 8925, pp. 285–295. Springer, Heidelberg (2015)

    Google Scholar 

  19. Morimoto, C.H., Koons, D., Amir, A., Flickner, M.: Pupil detection and tracking using multiple light sources. Image Vis. Comput. 18(4), 331–335 (2000)

    Article  Google Scholar 

  20. Pfeuffer, K., Vidal, M., Turner, J., Bulling, A., Gellersen, H.: Pursuit calibration: making gaze calibration less tedious and more flexible. In: Proceedings of the 26th annual ACM symposium on User interface software and technology, pp. 261–270. ACM (2013)

    Google Scholar 

  21. Proenca, H.: Iris recognition: on the segmentation of degraded images acquired in the visible wavelength. IEEE Trans. Pattern Anal. Mach. Intell. 32(8), 1502–1516 (2010)

    Article  Google Scholar 

  22. Sesma-Sanchez, L., Villanueva, A., Cabeza, R.: Design issues of remote eye tracking systems with large range of movement. In: Proceedings of the Symposium on Eye Tracking Research and Applications, pp. 243–246. ACM (2014)

    Google Scholar 

  23. Tan, T., He, Z., Sun, Z.: Efficient and robust segmentation of noisy iris images for non-cooperative iris recognition. Image Vis. Comput. 28(2), 223–230 (2010)

    Article  Google Scholar 

  24. Valenti, R., Gevers, T.: Accurate eye center location and tracking using isophote curvature. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8. IEEE (2008)

    Google Scholar 

  25. Valenti, R., Sebe, N., Gevers, T.: Combining head pose and eye location information for gaze estimation. IEEE Trans. Image Process. 21(2), 802–815 (2012)

    Article  MathSciNet  Google Scholar 

  26. Valenti, R., Staiano, J., Sebe, N., Gevers, T.: Webcam-based visual gaze estimation. In: Foggia, P., Sansone, C., Vento, M. (eds.) ICIAP 2009. LNCS, vol. 5716, pp. 662–671. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  27. Xiong, X., De la Torre, F.: Supervised descent method and its applications to face alignment. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 532–539. IEEE (2013)

    Google Scholar 

  28. Zheng, Z., Yang, J., Yang, L.: A robust method for eye features extraction on color image. Pattern Recogn. Lett. 26(14), 2252–2261 (2005)

    Article  Google Scholar 

  29. Zhu, J., Yang, J.: Subpixel eye gaze tracking. In: Fifth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 124–129. IEEE (2002)

    Google Scholar 

Download references

Acknowledgments

This work is supported partially by the National Natural Science Foundation of China (no.61402122) and the 2014 Ph.D. Recruitment Program of Guizhou Normal University.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA

    Shujian Yu & Yun Zhu

  2. School of Mathematics and Computer Science, Guizhou Normal University, Guiyang, Guizhou, China

    Weihua Ou

  3. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, Hubei, China

    Xinge You, Xiubao Jiang, Yi Mou, Weigang Guo & Yuanyan Tang

  4. Research Institute of Huazhong University of Science and Technology in Shenzhen, Shenzhen, Guangdong, China

    Xinge You

  5. Faculty of Science and Technology, University of Macau, Macau, China

    Yuanyan Tang & C. L. Philip Chen

Authors
  1. Shujian Yu
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  2. Weihua Ou
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  3. Xinge You
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  4. Xiubao Jiang
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  5. Yun Zhu
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  6. Yi Mou
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  7. Weigang Guo
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  8. Yuanyan Tang
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  9. C. L. Philip Chen
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Corresponding author

Correspondence to Shujian Yu .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

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Yu, S. et al. (2015). Webcam-Based Visual Gaze Estimation Under Desktop Environment. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9490. Springer, Cham. https://doi.org/10.1007/978-3-319-26535-3_52

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  • DOI: https://doi.org/10.1007/978-3-319-26535-3_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26534-6

  • Online ISBN: 978-3-319-26535-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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