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

Full text not available from this repository.

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.

Item Type:
Contribution in Book/Report/Proceedings
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700
Subjects:
ID Code:
134372
Deposited By:
Deposited On:
22 Jun 2019 01:03
Refereed?:
No
Published?:
Published
Last Modified:
01 Jan 2020 10:57