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.
Original language | English |
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Title of host publication | Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008 |
Pages | 180-184 |
Number of pages | 5 |
Volume | 1 |
DOIs | |
Publication status | Published - 01 Dec 2008 |
Event | 2008 International Conference on Computational Intelligence and Security, CIS 2008 - Suzhou, China Duration: 13 Dec 2008 → 17 Dec 2008 |
Conference
Conference | 2008 International Conference on Computational Intelligence and Security, CIS 2008 |
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Country/Territory | China |
City | Suzhou |
Period | 13/12/08 → 17/12/08 |