IR based pupil tracking using optimized particle filter
Ognian L. Boumbarov, Stanislav Panev, Strahil A. Sokolov, Vladimir Kanchev · 2009
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.