Image processing techniques for metallic object detection with millimetre-wave images

  • Authors:
  • C. D. Haworth;Y. R. Petillot;E. Trucco

  • Affiliations:
  • Electrical, Electronic and Computing Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom;Electrical, Electronic and Computing Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom;Electrical, Electronic and Computing Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom

  • Venue:
  • Pattern Recognition Letters - Special issue on vision for crime detection and prevention
  • Year:
  • 2006

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Abstract

In this paper, we present a system for the automatic detection and tracking of metallic objects concealed on moving people in sequences of millimetre-wave images, which can penetrate clothing, plastics and fabrics. The subjects are required to enter one at a time and turn round slowly to ensure complete coverage for the scan. The system employs two distinct stages: detection and tracking. In this paper a single detector, for metallic objects, is presented which utilises a statistical model also developed in this paper. Target tracking is performed using a particle filter. Results are presented on real millimetre-wave image test sequences and indicate an excellent rate of success for threat identification. Encouraging results for target tracking are also reported.