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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 9 — Apr. 23, 2012
  • pp: 9371–9381

Real-time concealed-object detection and recognition with passive millimeter wave imaging

Seokwon Yeom, Dong-Su Lee, YuShin Jang, Mun-Kyo Lee, and Sang-Won Jung  »View Author Affiliations

Optics Express, Vol. 20, Issue 9, pp. 9371-9381 (2012)

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Millimeter wave (MMW) imaging is finding rapid adoption in security applications such as concealed object detection under clothing. A passive MMW imaging system can operate as a stand-off type sensor that scans people in both indoors and outdoors. However, the imaging system often suffers from the diffraction limit and the low signal level. Therefore, suitable intelligent image processing algorithms would be required for automatic detection and recognition of the concealed objects. This paper proposes real-time outdoor concealed-object detection and recognition with a radiometric imaging system. The concealed object region is extracted by the multi-level segmentation. A novel approach is proposed to measure similarity between two binary images. Principal component analysis (PCA) regularizes the shape in terms of translation and rotation. A geometric-based feature vector is composed of shape descriptors, which can achieve scale and orientation-invariant and distortion-tolerant property. Class is decided by minimum Euclidean distance between normalized feature vectors. Experiments confirm that the proposed methods provide fast and reliable recognition of the concealed object carried by a moving human subject.

© 2012 OSA

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(100.2000) Image processing : Digital image processing
(100.5010) Image processing : Pattern recognition
(110.2970) Imaging systems : Image detection systems
(100.3008) Image processing : Image recognition, algorithms and filters
(110.6795) Imaging systems : Terahertz imaging

ToC Category:
Image Processing

Original Manuscript: January 11, 2012
Revised Manuscript: March 21, 2012
Manuscript Accepted: March 27, 2012
Published: April 9, 2012

Seokwon Yeom, Dong-Su Lee, YuShin Jang, Mun-Kyo Lee, and Sang-Won Jung, "Real-time concealed-object detection and recognition with passive millimeter wave imaging," Opt. Express 20, 9371-9381 (2012)

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  1. L. Yujiri, M. Shoucri, and P. Moffa, “Passive millimeter-wave imaging,” IEEE Microw. Mag.4(3), 39–50 (2003). [CrossRef]
  2. R. Appleby and R. N. Anderton, “Millimeter-wave and submillimeter-wave imaging for security and surveillance,” Proc. IEEE95(8), 1683–1690 (2007). [CrossRef]
  3. H.-M. Chen, S. Lee, R. M. Rao, M.-A. Slamani, and P. K. Varshney, “Imaging for concealed weapon detection: a tutorial overview of development in imaging sensors and processing,” IEEE Signal Process. Mag.22(2), 52–61 (2005). [CrossRef]
  4. National Research Council, Assessment of millimeter-wave and terahertz technology for detection and identification of concealed explosives and weapons (National Academies Press, Washington, D.C., 2007).
  5. A. Denisov, A. Gorishnyak, S. Kuzmin, V. Miklashevich, V. Obolonskv, V. Radzikhovsky, B. Shevchuk, B. Yshenko, V. Uliz’ko, and J. Son, “Some experiments concerning resolution of 32 sensors passive 8 mm wave imaging system,” in Proceeding of the 20th International Symposium on Space Terahertz Technology, ISSTT 2009 (National Radio Astronomy Observatory, 2009), 227–229.
  6. M. R. Fetterman, J. Grata, G. Jubic, W. L. Kiser, and A. Visnansky, “Simulation, acquisition and analysis of passive millimeter-wave images in remote sensing applications,” Opt. Express16(25), 20503–20515 (2008), http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-16-25-20503 . [CrossRef] [PubMed]
  7. K. B. Cooper, R. J. Dengler, N. Llombart, T. Bryllert, G. Chattopadhyay, I. Mehdi, and P. H. Siegel, “An approach for sub-second imaging of concealed objects using terahertz (THz) radar,” J. Infrared, Millimeter Terahertz Waves30, 1297–1307 (2009).
  8. H. Sato, K. Sawaya, K. Mizuno, J. Uemura, M. Takeda, J. Takahashi, K. Yamada, K. Morichika, T. Hasegawa, H. Hirai, H. Niikura, T. Matsuzaki, S. Kato, and J. Nakada, “Passive millimeter-wave imaging for security and safety applications,” Proc. SPIE7672, 76720V (2010).
  9. M.-K. Jung, Y.-S. Chang, S.-H. Kim, W.-G. Kim, and Y.-H. Kim, “Development of passive millimeter wave imaging system at W-band,” in Proceedings of the 34th International Conference on Infrared, Millimeter, and Terahertz Waves, (Busan, Korea, , 2009), pp. 1–2.
  10. H. Lee, W. Kim, J. Seong, D. Kim, K. Na, M. Jung, Y. Chang, S. Kim, and Y. Kim, “Test model of millimeter-wave imaging radiometer equipment (MIRAE), presented at the International Symposium of Remote Sensing, Busan, South Korea Oct. 23-Nov. 2 2007.
  11. S. Yeom, D.-S. Lee, J. Son, M. K. Jun, Y. Jang, S.-W. Jung, and S.-J. Lee, “Real-time outdoor concealed-object detection with passive millimeter wave imaging,” Opt. Express19(3), 2530–2536 (2011). [CrossRef] [PubMed]
  12. D.-S. Lee, S. Yeom, M.-K. Lee, S.-W. Jung, and Y. Chang, “Real-time computational processing and implementation for concealed object detection,” Opt. Eng. Computational Imaging Special Section, (to be published).
  13. L. C. Li, J. Y. Yang, G. L. Cui, Z. M. Jiang, and X. Zheng, “Method of passive MMW image detection and identification for close target,” J. Infrared, Millimeter Terahertz Waves32(1), 102–115 (2011). [CrossRef]
  14. E. L. Jacobs and O. Furxhi, “Target identification and navigation performance modeling of a passive millimeter wave imager,” Appl. Opt.49(19), E94–E105 (2010). [CrossRef] [PubMed]
  15. S. Belongie, J. Malik, and J. Puzicha, “Shape matching and object recognition using shape contexts,” IEEE Trans. Pattern Anal. Mach. Intell.24(4), 509–522 (2002). [CrossRef]
  16. R. C. Gonzalez, Digital Image Processing 2/E (Prentice-Hall Inc., 2003).
  17. I. Pitas, Digital image processing algorithms and applications (John Wiley & Sons, Inc., 2000).
  18. S. Yeom and D. Lee, “Radiometer automatic detection and image fusion algorithm development,” Samsung Thales Final Report, 2011.

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