Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Publication date | 1/12/2010 |
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Host publication | Computer Vision for Multimedia Applications: Methods and Solutions |
Editors | Jinjun Wang, Jian Cheng, SHuqiang Jian |
Publisher | IGI Global |
Pages | 60-72 |
Number of pages | 13 |
ISBN (electronic) | 9781609600266 |
ISBN (print) | 9781609600242 |
<mark>Original language</mark> | English |
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.