Full-text resources of PSJD and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


Preferences help
enabled [disable] Abstract
Number of results
2013 | 124 | 3 | 513-516

Article title

Research and Parameter Optimization of the Pattern Recognition Algorithm for the Eye Tracking Infrared Sensor

Content

Title variants

Languages of publication

EN

Abstracts

EN
The paper presents the process and results of tests of the pattern recognition algorithm. The algorithm has been developed for the sensor to track the activity of the eyes. The study was conducted on a group of ten people. The group was selected, so that it was possible to determine the influence of gender, age, eye color, contact lenses and glasses on the result of the algorithm. The object of the study was also to optimize the pattern recognition algorithm in terms of CPU utilization. For this purpose the duration of the algorithm steps were measured as a function of the allocation of tasks to multiple processor cores.

Keywords

EN

Contributors

author
  • Military University of Technology, Institute of Teleinformatics and Automatics S. Kaliskiego 2, 00-908 Warsaw, Poland
  • Military Institute of Aviation Medicine, Aviation Bioengineering Department, Z. Krasińskiego 54, 01-755 Warsaw, Poland
author
  • Military Institute of Aviation Medicine, Aviation Bioengineering Department, Z. Krasińskiego 54, 01-755 Warsaw, Poland

References

  • [1] Z. Bielecki, J. Janucki, A. Kawalec, J. Mikolajczyk, N. Palka, M. Pasternak, T. Pustelny, T. Stacewicz, J. Wojtas, Metrol. Meas. Syst. 19, 3 (2012)
  • [2] E. Lacot, W. Glastre, O. Jacquin, O. Hugon, H. de Chatellus, J. Opt. Soc. Am. A 30, 60 (2013)
  • [3] S. Shahbeig, H. Pourghassem, J. Opt. Soc. Am. A 30, 13 (2013)
  • [4] Z. Hu, K. Uchimura, Int. J. ITS Res. 4, no. 1 (2006)
  • [5] Z. Piotrowski, K. Różanowski, Acta Phys. Pol. A 118, 131 (2010)
  • [6] J. Keinert, H. Dutta, F. Hannig, C. Haubelt, J. Teich, in: Proc. Design, Automation & Test in Europe, 2009, p. 135
  • [7] W. Żorski, in: Proc. 8th Int. Conf. Lecture Notes in Computer Science, Vol. 4179, Springer-Verlag, 2006, p. 1071
  • [8] M. Piszczek, M. Kowalski, M. Karol, K. Rutyna, M. Zarzycki, M. Szustakowski, K. Ludwikowski, Acta Phys. Pol. A 124, 550 (2013)
  • [9] M. Życzkowski, Acta Phys. Pol. A 124, 428 (2013)
  • [10] K. Murawski, Electrotechn. Rev. 9, 184 (2010)
  • [11] K. Murawski, in: Proc. XV Int. Conf. on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje 2010, p. 356
  • [12] S. Belongie, J. Malik, J. Puzicha, IEEE Trans. PAMI 24, 509 (2002)
  • [13] J. Yang, A. Waibel, in: Proc. WACV, Sarasota (FL), 1996, p. 142
  • [14] D. Comaniciu, V. Ramesh, in: Proc. Third IEEE Int. Workshop on Visual Surveillance, 2000, p. 11
  • [15] G. Bradski, in: Proc. IEEE Workshop Applications of Computer Vision, 1998, p. 214
  • [16] J. Clemons, H. Zhu, S. Savarese, T. Austin, in: Proc. 2011 IEEE Int. Symp. on Workload Characterization, 2011, p. 91
  • [17] E. Rublee, V. Rabaud, K. Konolige, G. Bradski, in: Proc. 2011 Int. Conf. on Computer Vision, 2011, p. 2564
  • [18] C. Harris, M. Stephens, in: Proc. Fourth Alvey Vision Conf., 1988, p. 147
  • [19] I. Gordon, D.G. Lowe, in: Proc. ISMAR, 2004
  • [20] E. Rosten, T. Drummond, in: 9th European Conf. on Computer Vision, Vol. 1, 2006, p. 430443
  • [21] W. Żorski, in: Proc. 7th Int. Conf. Lecture Notes in Computer Science, Springer-Verlag, Vol. 3708, 2005, p. 460
  • [22] B. Draper, W. Najjar, W. Bohm, J. Hammes, B. Rinker, C. Ross, M. Chawathe, J. Bins, in: Proc. Fifth IEEE Int. Workshop on Computer Architectures for Machine Perception (CAMP'00), 2000, p. 222
  • [23] K. Różanowski. K. Murawski, Acta Phys. Pol. A 122, 874 (2012)
  • [24] K. Różanowski, K. Murawski, Acta Phys. Pol. A 124, 558 (2013)

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.bwnjournal-article-appv124n335kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.