Eyes Tracking Based on Kalman Particle Filter
Limin Xia · Jisuanji gongcheng · 2006
This paper presents a novel method of eyes tracking based on a Kalman particle filter.A new approach based on 2D deformable template has been proposed to extract the exact eyes features,then a particle filter is used to track eyes.In order to improve the speed and the precision of the tracking,the paper brings a Kalman filter into the particle filter,which is used to predict and revise in the sampling stage.This method can reduce the number of particles needed in tracking,and realize the purpose that tracks eyes quickly and exactly.Finally,it also performs some experiments,and proves that the method works effectively.