Paper
28 January 2010 Motion estimation accuracy for visible-light/gamma-ray imaging fusion for portable portal monitoring
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
Author Affiliations +
Proceedings Volume 7538, Image Processing: Machine Vision Applications III; 75380F (2010) https://doi.org/10.1117/12.838428
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas P. Karnowski, Mark F. Cunningham, James S Goddard, Anil M. Cheriyadat, Donald E. Hornback, Lorenzo Fabris, Ryan A. Kerekes, Klaus-Peter Ziock, and Timothy F. Gee "Motion estimation accuracy for visible-light/gamma-ray imaging fusion for portable portal monitoring", Proc. SPIE 7538, Image Processing: Machine Vision Applications III, 75380F (28 January 2010); https://doi.org/10.1117/12.838428
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Cited by 2 scholarly publications.
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KEYWORDS
Motion estimation

Imaging systems

Machine vision

Cameras

Gamma radiation

Error analysis

Gamma ray imaging

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