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Proceedings Paper

Motion estimation accuracy for visible-light/gamma-ray imaging fusion for portable portal monitoring
Author(s): Thomas P. Karnowski; Mark F. Cunningham; James S Goddard; Anil M. Cheriyadat; Donald E. Hornback; Lorenzo Fabris; Ryan A. Kerekes; Klaus-Peter Ziock; Timothy F. Gee
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Paper Abstract

The use of radiation sensors as portal monitors is increasing due to heightened concerns over the smuggling of fissile material. Portable systems that can detect significant quantities of fissile material that might be present in vehicular traffic are of particular interest. We have constructed a prototype, rapid-deployment portal gamma-ray imaging portal monitor that uses machine vision and gamma-ray imaging to monitor multiple lanes of traffic. Vehicles are detected and tracked by using point detection and optical flow methods as implemented in the OpenCV software library. Points are clustered together but imperfections in the detected points and tracks cause errors in the accuracy of the vehicle position estimates. The resulting errors cause a "blurring" effect in the gamma image of the vehicle. To minimize these errors, we have compared a variety of motion estimation techniques including an estimate using the median of the clustered points, a "best-track" filtering algorithm, and a constant velocity motion estimation model. The accuracy of these methods are contrasted and compared to a manually verified ground-truth measurement by quantifying the rootmean- square differences in the times the vehicles cross the gamma-ray image pixel boundaries compared with a groundtruth manual measurement.

Paper Details

Date Published: 28 January 2010
PDF: 12 pages
Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 75380F (28 January 2010); doi: 10.1117/12.838428
Show Author Affiliations
Thomas P. Karnowski, Oak Ridge National Lab. (United States)
Mark F. Cunningham, Lawrence Livermore National Lab. (United States)
James S Goddard, Oak Ridge National Lab. (United States)
Anil M. Cheriyadat, Oak Ridge National Lab. (United States)
Donald E. Hornback, Oak Ridge National Lab. (United States)
Lorenzo Fabris, Oak Ridge National Lab. (United States)
Ryan A. Kerekes, Oak Ridge National Lab. (United States)
Klaus-Peter Ziock, Oak Ridge National Lab. (United States)
Timothy F. Gee, Aldis Inc. (United States)


Published in SPIE Proceedings Vol. 7538:
Image Processing: Machine Vision Applications III
David Fofi; Kurt S. Niel, Editor(s)

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