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35th Applied Imagery and Pattern Recognition Workshop (AIPR'06)
Identification of Objects-of-Interest in X-Ray Images
Washington, DC, USA
October 11-October 13
ISBN: 0-7695-2739-6
Carsten Oertel, George Washington University
Peter Bock, George Washington University
The objective of this research is to automatically detect and locate Devices-of-Interest (DOI) in x-ray images, even if partially obscured by devices of no interest, using a new ALISA Component Module. This preliminary study was performed using a single DOI, a 9mm Colt Beretta, but the solution method can easily accommodate other DOIs. Results obtained in real-time (a few seconds) revealed a robust and accurate classifier that could easily assist security personnel at the defined venue: carry-on luggage x-ray machines in airports. This research project was funded by the Defense Threat Reduction Agency (DTRA).
Citation:
Carsten Oertel, Peter Bock, "Identification of Objects-of-Interest in X-Ray Images," aipr, pp.17, 35th Applied Imagery and Pattern Recognition Workshop (AIPR'06), 2006
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