Robust human face tracking in eigenspace for perceptual human-robot interaction

Jiang, Richard M. and Sadka, Abdul H. (2010) Robust human face tracking in eigenspace for perceptual human-robot interaction. In: Computer Vision for Multimedia Applications. IGI Global, pp. 60-72. ISBN 9781609600242

Abstract

This chapter introduces a robust human face tracking scheme for vision-based human-robot interaction, where the detected face-like regions in the video sequence are tracked using unscented Kalman filter (UKF), and face occlusion are tackled by using an online appearance-based scheme using principle component analysis (PCA). The experiment is carried out with the standard test video, which validates that the proposed PCA-based face tracking can attain robust performance in tackling face occlusions.