@inproceedings{0838dd90f0034746ac6f3b3d36c015af,
title = "New H∞ approach for face tracking",
abstract = "Automatic face detection and tracking system based on the new time-variant weighted Hco filter is presented in this paper. The proposed system is used to track and predict the location of a moving person's face in different background. Dealing with the deficient knowledge of the system model and uncertainties, H∞ that possesses the characteristic of minimizing the worst-case estimation-error has becomes the solution. Compared to the conventional time-invariant H∞ filtering, the proposed time-variant weighted-H∞ approach gives less estimation error since the performance bound of the cost function is updated according to the estimation-error covariance. The proposed system consists of two parts: face detection and tracking. The position of detected face is passed to the tracking system as the parameters for H∞ to predict the succeeding face position. The proposed system is evaluated and shows an appreciable performance compared to the conventional time-invariant H∞ and Kalman filter based tracking system.",
author = "Chin, {Siew Wen} and Seng, {Kah Phooi} and Ang, {Li Minn}",
year = "2008",
doi = "10.1109/CIS.2008.171",
language = "English",
isbn = "9780769535081",
series = "Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008",
pages = "180--184",
booktitle = "Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008",
note = "2008 International Conference on Computational Intelligence and Security, CIS 2008 ; Conference date: 13-12-2008 Through 17-12-2008",
}