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Determining the nominal body contour image using wideband millimeter-wave radar for characterizing person-worn threats

Published online by Cambridge University Press:  20 August 2021

Mohammad M. Tajdini Open the ORCID record for Mohammad M. Tajdini [Opens in a new window]  and
Carey M. Rappaport
Mohammad M. Tajdini*
Affiliation:
Electrical and Computer Engineering Department, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA
Carey M. Rappaport
Affiliation:
Electrical and Computer Engineering Department, Northeastern University, 360 Huntington Ave., Boston, MA 02115, USA
*
Author for correspondence: Mohammad M. Tajdini, E-mail: mmtajdini@gmail.com
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Abstract

Precise characterization of concealed person-worn objects will speed up the passenger screening process by reducing the rate of nuisance alarms, while also enhancing the airport security imaging systems. This paper presents an automatic, real-time method for wideband millimeter-wave radar identification of the nominal surface contours of the human body – even with affixed foreign objects or when a segment of the body cross-section is not captured by the radar – without relying on the body's bilateral symmetry. The developed method is verified experimentally when applied to the actual images generated by a laboratory airport scanning prototype developed recently by the US Department of Homeland Security (DHS). Our method uses the noisy collection of radar cross-section reflectivity data to extract the main contours and estimates the nominal body surface cross-sections through fitting a small-term Fourier series of circumferential variation. This is a necessary step for accurate characterizing of concealed terrorist threat objects affixed to the body.

Keywords

Computational imagingmillimeter-waveremote sensinginverse scatteringradar signal processingFourier reconstructioncounterterrorism
Type
EuCAP 2020
Information
International Journal of Microwave and Wireless Technologies , Volume 14 , Special Issue 6: EuCAP 2020 Special Issue , July 2022 , pp. 732 - 738
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

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References

Moulder, JE (2012) Risks of exposure to ionizing and millimeter-wave radiation from airport whole-body scanners. Radiation Research 177, 723–726.CrossRefGoogle ScholarPubMed
Passive Millimeter Wave Detectors Market Survey Report, DHS S&T, SAVER Prog., (2014).Google Scholar
Laviada, J, Lopez-Portugues, M, Arboleya-Arboleya, A and Las-Heras, F (2018) Multiview mm-wave imaging with augmented depth camera information. IEEE Access 6, 16869–16877.CrossRefGoogle Scholar
Alekseev, S and Ziskin, M (2007) Human skin permittivity determined by millimeter wave reflection measurements. Bioelectromagnetics 28, 331–339.CrossRefGoogle ScholarPubMed
Bjarnason, J, Chan, T, Lee, A, Celis, M and Brown, E (2004) Millimeter-wave, terahertz, and mid-infrared transmission through common clothing. Applied Physics Letters 85, 519–521.CrossRefGoogle Scholar
Sheen, DM (2015) Noise analysis for near field 3-D FM-CW radar imaging systems. Proceedings of SPIE 946206, 9462061–9462067.Google Scholar
Accardo, J and Chaudhry, MA (2014) Radiation exposure and privacy concerns surrounding full-body scanners in airports. Journal of Radiation Research and Applied Sciences 7, 198–200.CrossRefGoogle Scholar
Appleby, R and Wallace, HB (2007) Standoff detection of weapons and contraband in the 100 GHz to 1 THz region. IEEE Transactions on Antennas and Propagation 55, 2944–2956.10.1109/TAP.2007.908543CrossRefGoogle Scholar
Sheen, DM, McMakin, DL and Hall, TE (2010) Near-field three-dimensional radar imaging techniques and applications. Applied Optics 49, E83–E93.CrossRefGoogle ScholarPubMed
Sheen, DM, Bernacki, BE and McMakin, DL (2012) Advanced millimeter-wave security portal imaging techniques. Proceedings of SPIE 8259, 82590G1–82590G7.Google Scholar
Alvarez, Y, Gonzalez-Valdes, B, Martinez-Lorenzo, JA, Las-Heras, F and Rappaport, CM (2013) An improved SAR based technique for accurate profile reconstruction. IEEE Transactions on Antennas and Propagation 61, 1490–1495.CrossRefGoogle Scholar
Sheen, DM, McMakin, DL, Hall, TE and Severtsen, RH (2009) Active millimeter-wave standoff and portal imaging techniques for personnel screening. IEEE Conference on Technologies for Homeland Security, Boston, MA, pp. 440–447.Google Scholar
Sheen, DM, McMakin, DL and Hall, TE (2011) Active millimeter-wave and sub-millimeter-wave imaging for security applications. International Conference on Infrared, Millimeter, and Terahertz Waves, Houston, TX, pp. 2–7.CrossRefGoogle Scholar
Sheen, DM and Hall, TE (2011) Calibration, reconstruction, and rendering of cylindrical millimeter-wave image data. Proceedings of SPIE 8022, 8022H1–8022H12.Google Scholar
Fernandes, JL, Rappaport, CM and Sheen, DM (2011) Improved reconstruction and sensing techniques for personnel screening in three-dimensional cylindrical millimeter-wave portal scanning. Proceedings of SPIE 8022, 8022051–8022058.Google Scholar
Yurduseven, O, Gollub, JN, Rose, A, Marks, DL and Smith, DR (2016) Design and simulation of a frequency-diverse aperture for imaging of human-scale targets. IEEE Access 4, 5436–5451.CrossRefGoogle Scholar
Fromenteze, T, Yurduseven, O, Berland, F, Decroze, C, Smith, DR and Yarovoy, AG (2019) A transverse spectrum deconvolution technique for MIMO short-range Fourier imaging. IEEE Transactions on Geoscience and Remote Sensing 57, 6311–6324.CrossRefGoogle Scholar
Marks, DL, Yurduseven, O and Smith, DR (2017) Fourier accelerated multistatic imaging: a fast reconstruction algorithm for multiple-input-multiple-output radar imaging. IEEE Access 5, 1796–1809.CrossRefGoogle Scholar
Gonzalez-Valdes, B, Alvarez, Y, Martinez-Lorenzo, JA, Las-Heras, F and Rappaport, CM (2013) SAR processing for profile reconstruction and characterization of dielectric objects on the human body surface. Progress in Electromagnetics Research 138, 269–282.CrossRefGoogle Scholar
Alvarez, Y, Gonzalez-Valdes, B, Martinez-Lorenzo, JA, Las-Heras, F and Rappaport, CM (2012) 3D whole body imaging for detecting explosive-related threats. IEEE Transactions on Antennas and Propagation 60, 4453–4458.CrossRefGoogle Scholar
Alvarez, Y, Gonzalez-Valdes, B, Martinez-Lorenzo, JA, Las-Heras, F and Rappaport, CM (2015) SAR imaging-based techniques for low permittivity lossless dielectric bodies characterization. IEEE Antennas and Propagation Magazine 57, 267–276.CrossRefGoogle Scholar
Sheen, DM, Fernandes, JL, Tedeschi, JR, McMakin, DL, Jones, AM, Lechelt, WM and Severtsen, RH (2013) Wide-bandwidth, wide-beamwidth, high-resolution, millimeter-wave imaging for concealed weapon detection. Proceedings of SPIE 8715, 8715091–87150911.Google Scholar
Sadeghi, M, Wig, E and Rappaport, C (2018) Determining the dielectric permittivity and thickness of a penetrable slab affixed to the human body using focused CW mm-wave sensing. 2018 IEEE International Symposium on Antennas and Propagation and USNC/URSI National Radio Science Meeting, pp. 621–622.CrossRefGoogle Scholar
Tajdini, MM and Rappaport, CM (2019) Focused CW mm-wave characterization of lossy penetrable dielectric slab affixed to human body. 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, pp. 577–578.CrossRefGoogle Scholar
Sadeghi, M, Tajdini, MM, Wig, E and Rappaport, CM (2020) Single-frequency fast dielectric characterization of concealed body-worn explosive threats. IEEE Transactions on Antennas and Propagation 68, 7541–7548.CrossRefGoogle Scholar
Appleby, R and Anderton, RN (2007) Millimeter-wave and submillimeter-wave imaging for security and surveillance. Proceedings of the IEEE 95, 1683–1690.CrossRefGoogle Scholar
Zheng, C, Yao, X, Hu, A and Miao, J (2013) A passive millimeter-wave imager used for concealed weapon detection. PIER B 46, 379–397.CrossRefGoogle Scholar
Wang, Z, Chang, T and Cui, HL (2019) Review of active millimeter wave imaging techniques for personnel security screening. IEEE Access 7, 148336–148350.CrossRefGoogle Scholar
Nemati, MH, Mantzavinos, S, Busuioc, D, Pelepchan, N, Brevett, T, Londa, J, Phatak, N, Castle, D and Rappaport, CM (2018) Experimental validation of a novel multistatic toroidal reflector nearfield imaging system for concealed threat detection. 12th European Conference on Antennas and Propagation (EuCAP), pp. 1–3.CrossRefGoogle Scholar
Asri, M and Rappaport, C (2019) Automatic permittivity characterization of a weak dielectric attached to human body using wideband radar image processing. IEEE International Symposium on Antennas and Propagation, Atlanta, GA, pp. 575–576.CrossRefGoogle Scholar
Tajdini, MM, Jaisle, KP and Rappaport, CM (2020) Image radar determining the nominal body contour for characterization of concealed person-worn explosives. 14th European Conference on Antennas and Propagation (EuCAP), Copenhagen, Denmark, pp. 1–4.CrossRefGoogle Scholar
Passenger Screening Algorithm Challenge, Department of Homeland Security. [Online]. Available: https://www.kaggle.com/c/passenger-screening-algorithm-challenge/data.Google Scholar
Gonzalez, RC and Woods, RE (2018) Digital Image Processing, 4th Edn. New York, NY: Pearson.Google Scholar
Morphological operations on binary images, MathWorks. [Online]. Available: https://www.mathworks.com/help/images/ref/bwmorph.html.Google Scholar
Von Hippel, R (1953) Dielectric Materials and Applications. New York, NY: Technology Press of MIT and John Wiley and Sons, Inc.Google Scholar
Passenger Screening Using Advanced Imaging Technology, US Department of Homeland Security, Federal Register, 81(42), 2016.Google Scholar