Pedestrian Imaging Using UWB Doppler Radar Interferometry

Kenshi SAHO; Takuya SAKAMOTO; Toru SATO; Kenichi INOUE; Takeshi FUKUDA

doi:10.1587/transcom.E96.B.613

Pedestrian Imaging Using UWB Doppler Radar Interferometry

Kenshi SAHO, Takuya SAKAMOTO, Toru SATO, Kenichi INOUE, Takeshi FUKUDA

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The imaging of humans using radar is promising for surveillance systems. Although conventional radar systems detect the presence or position of intruders, it is difficult to acquire shape and motion details because the resolution is insufficient. This paper presents a high-resolution human imaging algorithm for an ultra-wideband (UWB) Doppler radar. The proposed algorithm estimates three-dimensional human images using interferometry and, using velocity information, rejects false images created by the interference of body parts. Experiments verify that our proposed algorithm achieves adequate pedestrian imaging. In addition, accurate shape and motion parameters are extracted from the estimated images.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.2 pp.613-623

Publication Date: 2013/02/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.613

Type of Manuscript: PAPER

Category: Sensing

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Kenshi SAHO, Takuya SAKAMOTO, Toru SATO, Kenichi INOUE, Takeshi FUKUDA, "Pedestrian Imaging Using UWB Doppler Radar Interferometry" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 2, pp. 613-623, February 2013, doi: 10.1587/transcom.E96.B.613.
Abstract: The imaging of humans using radar is promising for surveillance systems. Although conventional radar systems detect the presence or position of intruders, it is difficult to acquire shape and motion details because the resolution is insufficient. This paper presents a high-resolution human imaging algorithm for an ultra-wideband (UWB) Doppler radar. The proposed algorithm estimates three-dimensional human images using interferometry and, using velocity information, rejects false images created by the interference of body parts. Experiments verify that our proposed algorithm achieves adequate pedestrian imaging. In addition, accurate shape and motion parameters are extracted from the estimated images.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.613/_p

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@ARTICLE{e96-b_2_613,
author={Kenshi SAHO, Takuya SAKAMOTO, Toru SATO, Kenichi INOUE, Takeshi FUKUDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Pedestrian Imaging Using UWB Doppler Radar Interferometry},
year={2013},
volume={E96-B},
number={2},
pages={613-623},
abstract={The imaging of humans using radar is promising for surveillance systems. Although conventional radar systems detect the presence or position of intruders, it is difficult to acquire shape and motion details because the resolution is insufficient. This paper presents a high-resolution human imaging algorithm for an ultra-wideband (UWB) Doppler radar. The proposed algorithm estimates three-dimensional human images using interferometry and, using velocity information, rejects false images created by the interference of body parts. Experiments verify that our proposed algorithm achieves adequate pedestrian imaging. In addition, accurate shape and motion parameters are extracted from the estimated images.},
keywords={},
doi={10.1587/transcom.E96.B.613},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Pedestrian Imaging Using UWB Doppler Radar Interferometry
T2 - IEICE TRANSACTIONS on Communications
SP - 613
EP - 623
AU - Kenshi SAHO
AU - Takuya SAKAMOTO
AU - Toru SATO
AU - Kenichi INOUE
AU - Takeshi FUKUDA
PY - 2013
DO - 10.1587/transcom.E96.B.613
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2013
AB - The imaging of humans using radar is promising for surveillance systems. Although conventional radar systems detect the presence or position of intruders, it is difficult to acquire shape and motion details because the resolution is insufficient. This paper presents a high-resolution human imaging algorithm for an ultra-wideband (UWB) Doppler radar. The proposed algorithm estimates three-dimensional human images using interferometry and, using velocity information, rejects false images created by the interference of body parts. Experiments verify that our proposed algorithm achieves adequate pedestrian imaging. In addition, accurate shape and motion parameters are extracted from the estimated images.
ER -