Real-time Estimation of Face Posture by Eyes detection and tracking with Particle Filter

Abstract

Aimed at face posture estimation and tracking in real time from image sequence captured by camera, we have proposed a method using state space model for estimating face direction and position with simplified flat face and two eyes model. Real-time implementation of state estimation for the model has been done with particle filter algorithm. Experiments with two obvious marks, picture face, face photo, and real face have demonstrated performance of the proposed method.