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

Taehyeong Ha, Jeongtae Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 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 languageEnglish
Title of host publication2019 IEEE Sensors, SENSORS 2019 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116341
DOIs
StatePublished - Oct 2019
Event18th IEEE Sensors, SENSORS 2019 - Montreal, Canada
Duration: 27 Oct 201930 Oct 2019

Publication series

NameProceedings of IEEE Sensors
Volume2019-October
ISSN (Print)1930-0395
ISSN (Electronic)2168-9229

Conference

Conference18th IEEE Sensors, SENSORS 2019
Country/TerritoryCanada
CityMontreal
Period27/10/1930/10/19

Fingerprint

Dive into the research topics of 'Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars'. Together they form a unique fingerprint.

Cite this