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

Yi Da Xu; Junbin Gao; Michael Antolovich

doi:10.1109/ICME.2008.4607367

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 paper › Conference paper › peer-review

5 Citations (Scopus)

53 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 language	English
Title of host publication	ICME 2008
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	45-48
Number of pages	4
ISBN (Electronic)	9781424425709
DOIs	https://doi.org/10.1109/ICME.2008.4607367
Publication status	Published - 2008
Event	IEEE International Conference on Multimedia and Expo - Hannover, Germany, Germany Duration: 23 Jun 2008 → 26 Jun 2008

Conference

Conference	IEEE International Conference on Multimedia and Expo
Country/Territory	Germany
Period	23/06/08 → 26/06/08

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10.1109/ICME.2008.4607367

CSU393732Accepted author manuscript, 765 KB

Cite this

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title = "Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras",

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.",

keywords = "Open access version available",

author = "Xu, {Yi Da} and Junbin Gao and Michael Antolovich",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers (IEEE) Press, 2008. Event dates (773o) = June 23-26, 2008; Parent title (773t) = IEEE International Conference on Multimedia and Expo.; IEEE International Conference on Multimedia and Expo ; Conference date: 23-06-2008 Through 26-06-2008",

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doi = "10.1109/ICME.2008.4607367",

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AU - Gao, Junbin

AU - Antolovich, Michael

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers (IEEE) Press, 2008. Event dates (773o) = June 23-26, 2008; Parent title (773t) = IEEE International Conference on Multimedia and Expo.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Open access version available

U2 - 10.1109/ICME.2008.4607367

DO - 10.1109/ICME.2008.4607367

M3 - Conference paper

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EP - 48

BT - ICME 2008

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - IEEE International Conference on Multimedia and Expo

Y2 - 23 June 2008 through 26 June 2008

ER -

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

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