TY - GEN
T1 - Improved People Counting Algorithm for Indoor Environments using 60 GHz FMCW Radar
AU - Weib, Jonas
AU - Perez, Rodrigo
AU - Biebl, Erwin
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - This work presents a novel people counting system based on an adaptive peak detection and a vital sign verification algorithm with a 60 GHz frequency modulated continuous wave radar sensor, which uses the antenna in package technology. Thus, the sensor has a small size, a low energy consumption, and a low price. The algorithm applies an adaptive ordered statistic constant false alarm rate detection on the filtered and preprocessed range spectrum to detect human targets, and checks them in a second step with a vital sign verification algorithm. In the experimental setup a dataset of 0 to 4 people present in an office room was recorded with three sensors from different viewing angles. A plus-minus-one accuracy of up to 85.4 % was achieved and the ability to generalize to new sensor positions is shown.
AB - This work presents a novel people counting system based on an adaptive peak detection and a vital sign verification algorithm with a 60 GHz frequency modulated continuous wave radar sensor, which uses the antenna in package technology. Thus, the sensor has a small size, a low energy consumption, and a low price. The algorithm applies an adaptive ordered statistic constant false alarm rate detection on the filtered and preprocessed range spectrum to detect human targets, and checks them in a second step with a vital sign verification algorithm. In the experimental setup a dataset of 0 to 4 people present in an office room was recorded with three sensors from different viewing angles. A plus-minus-one accuracy of up to 85.4 % was achieved and the ability to generalize to new sensor positions is shown.
KW - 60 GHz mm-wave radar
KW - OS-CFAR
KW - people counting
KW - radar signal processing
KW - sensor applications
KW - vital sign
UR - http://www.scopus.com/inward/record.url?scp=85098564932&partnerID=8YFLogxK
U2 - 10.1109/RadarConf2043947.2020.9266607
DO - 10.1109/RadarConf2043947.2020.9266607
M3 - Conference contribution
AN - SCOPUS:85098564932
T3 - IEEE National Radar Conference - Proceedings
BT - 2020 IEEE Radar Conference, RadarConf 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Radar Conference, RadarConf 2020
Y2 - 21 September 2020 through 25 September 2020
ER -
