Face tracking system using hoo approach

Sew Wen Chin, Li Minn Ang, Kah Phooi Seng

Research output: Book chapter/Published conference paperConference paper

Abstract

An automatic face detection and tracking based on Hoo 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. To overcome the lack of a prior knowledge of the system model and the noise statistic, face is tracked using the prediction values generated by Hoo which minimizes the worst case estimation error. The proposed system consists of two parts: face detection and tracking. The face is first segmented out from the complex background using elliptical skin boundary. The position of the segmented face is then passed to the tracking system as the parameters for Hoo to predict the appearance of the face in thesucceeding frame. The performance of the proposed system is evaluated and compared with Kalman filter based tracking system. The algorithm is tested on various video sequences and the simulation results reveal good performance of the proposed method.

Original languageEnglish
Title of host publication2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
DOIs
Publication statusPublished - 01 Dec 2008
Event2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 - Bangkok, Thailand
Duration: 08 Feb 200911 Feb 2009

Conference

Conference2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008
CountryThailand
CityBangkok
Period08/02/0911/02/09

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  • Cite this

    Chin, S. W., Ang, L. M., & Seng, K. P. (2008). Face tracking system using hoo approach. In 2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 [4806688] https://doi.org/10.1109/ISPACS.2009.4806688