The use of gamma-ray imaging to improve portal monitor performance

Klaus P. Ziock; Jeff Collins; Mark Cunningham; Lorenzo Fabris; Timothy Gee; James Goddard; Frezghi Habte; Thomas Karnowski

doi:10.1109/TNS.2008.2007489

The use of gamma-ray imaging to improve portal monitor performance

Klaus P. Ziock, Jeff Collins, Mark Cunningham, Lorenzo Fabris, Timothy Gee, James Goddard, Frezghi Habte, Thomas Karnowski

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

We have constructed a prototype, rapid-deployment portal monitor that uses visible-light and gamma-ray imaging to allow simultaneous monitoring of multiple lanes of traffic from the side of a roadway. Our Roadside Tracker uses automated target acquisition and tracking (TAT) software to identify and track vehicles in visible light images. The field of view of the visible camera overlaps with and is calibrated to that of a one-dimensional gamma-ray imager. The TAT code passes information on when vehicles enter and exit the system field of view and when they cross gamma-ray pixel boundaries. Based on this information, the gamma-ray imager harvests the gamma-ray data specific to each vehicle, integrating its radiation signature for the entire time that it is in the field of view. In this fashion we are able to generate vehicle-specific radiation signatures and avoid source confusion problems that plague nonimaging approaches to the same problem.

Original language	English
Article number	4723828
Pages (from-to)	3654-3664
Number of pages	11
Journal	IEEE Transactions on Nuclear Science
Volume	55
Issue number	6
DOIs	https://doi.org/10.1109/TNS.2008.2007489
State	Published - Dec 2008

Keywords

Coded-aperture imager
Gamma-ray detectors
Gamma-ray imagers
Nuclear imaging
Radiation portal monitor

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/TNS.2008.2007489

Cite this

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title = "The use of gamma-ray imaging to improve portal monitor performance",

abstract = "We have constructed a prototype, rapid-deployment portal monitor that uses visible-light and gamma-ray imaging to allow simultaneous monitoring of multiple lanes of traffic from the side of a roadway. Our Roadside Tracker uses automated target acquisition and tracking (TAT) software to identify and track vehicles in visible light images. The field of view of the visible camera overlaps with and is calibrated to that of a one-dimensional gamma-ray imager. The TAT code passes information on when vehicles enter and exit the system field of view and when they cross gamma-ray pixel boundaries. Based on this information, the gamma-ray imager harvests the gamma-ray data specific to each vehicle, integrating its radiation signature for the entire time that it is in the field of view. In this fashion we are able to generate vehicle-specific radiation signatures and avoid source confusion problems that plague nonimaging approaches to the same problem.",

keywords = "Coded-aperture imager, Gamma-ray detectors, Gamma-ray imagers, Nuclear imaging, Radiation portal monitor",

author = "Ziock, {Klaus P.} and Jeff Collins and Mark Cunningham and Lorenzo Fabris and Timothy Gee and James Goddard and Frezghi Habte and Thomas Karnowski",

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AU - Collins, Jeff

AU - Cunningham, Mark

AU - Fabris, Lorenzo

AU - Gee, Timothy

AU - Goddard, James

AU - Habte, Frezghi

AU - Karnowski, Thomas

PY - 2008/12

Y1 - 2008/12

N2 - We have constructed a prototype, rapid-deployment portal monitor that uses visible-light and gamma-ray imaging to allow simultaneous monitoring of multiple lanes of traffic from the side of a roadway. Our Roadside Tracker uses automated target acquisition and tracking (TAT) software to identify and track vehicles in visible light images. The field of view of the visible camera overlaps with and is calibrated to that of a one-dimensional gamma-ray imager. The TAT code passes information on when vehicles enter and exit the system field of view and when they cross gamma-ray pixel boundaries. Based on this information, the gamma-ray imager harvests the gamma-ray data specific to each vehicle, integrating its radiation signature for the entire time that it is in the field of view. In this fashion we are able to generate vehicle-specific radiation signatures and avoid source confusion problems that plague nonimaging approaches to the same problem.

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KW - Gamma-ray detectors

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The use of gamma-ray imaging to improve portal monitor performance

Abstract

Keywords

UN SDGs

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