Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras

Yi Da Xu, Junbin Gao, Michael Antolovich

Research output: Book chapter/Published conference paperConference paper

5 Citations (Scopus)
21 Downloads (Pure)

Abstract

In many machine vision applications, a set of static and Pan-Tilt-Zoom (PTZ) cameras are used to capture a sequence of high-resolution facial images of a moving person. In this paper, we present our implementation of such a system. We emphasis two novelties in our work; the first one is our efficient PTZ camera calibration technique using hand-drawn gridlines. The second one is our head position estimation technique using the Gaussian Mixture Model (GMM) and variance analysis of the foreground blob regions.
Original languageEnglish
Title of host publicationICME 2008
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages45-48
Number of pages4
ISBN (Electronic)9781424425709
DOIs
Publication statusPublished - 2008
EventIEEE International Conference on Multimedia and Expo - Hannover, Germany, Germany
Duration: 23 Jun 200826 Jun 2008

Conference

ConferenceIEEE International Conference on Multimedia and Expo
CountryGermany
Period23/06/0826/06/08

Fingerprint Dive into the research topics of 'Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras'. Together they form a unique fingerprint.

  • Cite this

    Xu, Y. D., Gao, J., & Antolovich, M. (2008). Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. In ICME 2008 (pp. 45-48). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICME.2008.4607367