IR based pupil tracking using optimized particle filter

Author

Boumbarov, Ognian ; Panev, Stanislav ; Sokolov, Strahil ; Kanchev, Vladimir

Author_Institution

Fac. of Telecommun., Tech. Univ. of Sofia, Sofia, Bulgaria

fYear

2009

fDate

21-23 Sept. 2009

Firstpage

404

Lastpage

408

Abstract

In this article an algorithm is proposed for estimation of eye-pupil contour parameters in an image, by means of a particle filter and artificial infrared lighting. A description is given of the initial assumptions that must be made when the algorithm is used. Then the used system model is described, as well as the principles of evolving the state of the system in time. Also the method is depicted, for estimation of the hypotheses of eye-pupil presence in the analyzed image. This is necessary for the application of particle filtering in the algorithm. In addition, it is necessary to introduce a means for reduction of the number of hypotheses. We have also shown and analyzed the experimental results from the proposed algorithm.

Keywords

eye; image processing; particle filtering (numerical methods); tracking; IR based pupil tracking; artificial infrared lighting; eye-pupil contour parameters; hypotheses estimation; image analysis; optimized particle filter; system model; Particle filters; Particle tracking; eye; mean-shift; particle filtering; pupil; tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on

Conference_Location

Rende

Print_ISBN

978-1-4244-4901-9

Electronic_ISBN

978-1-4244-4882-1

Type

conf

DOI

10.1109/IDAACS.2009.5342950

Filename

5342950