New H approach for face tracking

Siew Wen Chin, Kah Phooi Seng, Li Minn Ang

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008
Pages180-184
Number of pages5
Volume1
DOIs
Publication statusPublished - 01 Dec 2008
Event2008 International Conference on Computational Intelligence and Security, CIS 2008 - Suzhou, China
Duration: 13 Dec 200817 Dec 2008

Conference

Conference2008 International Conference on Computational Intelligence and Security, CIS 2008
CountryChina
CitySuzhou
Period13/12/0817/12/08

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