Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars

Taehyeong Ha; Jeongtae Kim

doi:10.1109/SENSORS43011.2019.8956687

Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars

Taehyeong Ha, Jeongtae Kim

Electronic and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

We studied the detection and localization method of multiple stationary human targets using multiple IR-UWB radar sensors. The proposed method identifies the number of human targets, estimates the 1D location of each target based on respiration signals and generates 2D images of each target. Compared with conventional change detection method, the proposed method showed improved performance in experiments. Especially, the proposed method was robust to shadowing effect and did not cause ghost artifact.

Original language	English
Title of host publication	2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728116341
DOIs	https://doi.org/10.1109/SENSORS43011.2019.8956687
State	Published - Oct 2019
Event	18th IEEE Sensors, SENSORS 2019 - Montreal, Canada Duration: 27 Oct 2019 → 30 Oct 2019

Publication series

Name	Proceedings of IEEE Sensors
Volume	2019-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	18th IEEE Sensors, SENSORS 2019
Country/Territory	Canada
City	Montreal
Period	27/10/19 → 30/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Access to Document

10.1109/SENSORS43011.2019.8956687

Cite this

@inproceedings{dabb80cbac5b4fb88d4c9592d61373c1,

title = "Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars",

abstract = "We studied the detection and localization method of multiple stationary human targets using multiple IR-UWB radar sensors. The proposed method identifies the number of human targets, estimates the 1D location of each target based on respiration signals and generates 2D images of each target. Compared with conventional change detection method, the proposed method showed improved performance in experiments. Especially, the proposed method was robust to shadowing effect and did not cause ghost artifact.",

author = "Taehyeong Ha and Jeongtae Kim",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 18th IEEE Sensors, SENSORS 2019 ; Conference date: 27-10-2019 Through 30-10-2019",

year = "2019",

month = oct,

doi = "10.1109/SENSORS43011.2019.8956687",

language = "English",

series = "Proceedings of IEEE Sensors",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings",

}

Ha, T & Kim, J 2019, Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars. in 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings., 8956687, Proceedings of IEEE Sensors, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., 18th IEEE Sensors, SENSORS 2019, Montreal, Canada, 27/10/19. https://doi.org/10.1109/SENSORS43011.2019.8956687

Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars. / Ha, Taehyeong; Kim, Jeongtae.
2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8956687 (Proceedings of IEEE Sensors; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars

AU - Ha, Taehyeong

AU - Kim, Jeongtae

PY - 2019/10

Y1 - 2019/10

N2 - We studied the detection and localization method of multiple stationary human targets using multiple IR-UWB radar sensors. The proposed method identifies the number of human targets, estimates the 1D location of each target based on respiration signals and generates 2D images of each target. Compared with conventional change detection method, the proposed method showed improved performance in experiments. Especially, the proposed method was robust to shadowing effect and did not cause ghost artifact.

AB - We studied the detection and localization method of multiple stationary human targets using multiple IR-UWB radar sensors. The proposed method identifies the number of human targets, estimates the 1D location of each target based on respiration signals and generates 2D images of each target. Compared with conventional change detection method, the proposed method showed improved performance in experiments. Especially, the proposed method was robust to shadowing effect and did not cause ghost artifact.

UR - http://www.scopus.com/inward/record.url?scp=85078709007&partnerID=8YFLogxK

U2 - 10.1109/SENSORS43011.2019.8956687

DO - 10.1109/SENSORS43011.2019.8956687

M3 - Conference contribution

AN - SCOPUS:85078709007

T3 - Proceedings of IEEE Sensors

BT - 2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th IEEE Sensors, SENSORS 2019

Y2 - 27 October 2019 through 30 October 2019

ER -

Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Fingerprint

Cite this