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

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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:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 134372
Deposited By: ep_importer_pure
Deposited On: 22 Jun 2019 01:03
Refereed?: No
Published?: Published
Last Modified: 01 Jan 2020 10:57
URI: https://eprints.lancs.ac.uk/id/eprint/134372

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