Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
}
TY - CHAP
T1 - Robust human face tracking in eigenspace for perceptual human-robot interaction
AU - Jiang, Richard M.
AU - Sadka, Abdul H.
PY - 2010/12/1
Y1 - 2010/12/1
N2 - 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.
AB - 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.
U2 - 10.4018/978-1-60960-024-2.ch004
DO - 10.4018/978-1-60960-024-2.ch004
M3 - Chapter
AN - SCOPUS:84899167684
SN - 9781609600242
SP - 60
EP - 72
BT - Computer Vision for Multimedia Applications
A2 - Wang, Jinjun
A2 - Cheng, Jian
A2 - Jian, SHuqiang
PB - IGI Global
ER -