TY - GEN
T1 - Detection and Localization of Multiple Human Targets Based on Respiration Measured by IR-UWB Radars
AU - Ha, Taehyeong
AU - Kim, Jeongtae
N1 - Publisher Copyright:
© 2019 IEEE.
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 -