Identification of Objects-of-Interest in X-Ray Images

  • Authors:
  • Carsten Oertel;Peter Bock

  • Affiliations:
  • George Washington University;George Washington University

  • Venue:
  • AIPR '06 Proceedings of the 35th Applied Imagery and Pattern Recognition Workshop
  • Year:
  • 2006

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Abstract

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).