human tracking via Doppler radar
TI Radar Micro-Doppler for Long Range Front-View Gait Recognition
SO 2009 IEEE 3RD INTERNATIONAL CONFERENCE ON BIOMETRICS: THEORY,
APPLICATIONS AND SYSTEMS
LA English
DT Proceedings Paper
CT 3rd IEEE International Conference on Biometrics - Theory, Applications
and Systems (BTAS 2009)
CY SEP 28-30, 2009
CL Washington, DC
SP IEEE, IEEE Syst, Man & Cybernet Soc, IEEE Biometr Council
ID MODEL
AB We seek to understand the extraction of radar micro-Doppler signals generated by human motions at long range and with a front-view to use them as a biometric. We describe micro-Doppler algorithms used for the detection and tracking, and detail the gait features that can be extracted. We have measurements of multiple human subjects in outdoor but low-clutter backgrounds for identification and find that at long range and front-view, the probability of correct classification can be over 80%. However, the micro-Doppler signals are dependent on the direction of motion, and we discuss methods to reduce the effect of the direction of motion. These radar biometric features can serve as identifying features in a scene with multiple subjects. Ground truth using video and GPS is used to validate the radar data.
C1 [Tahmoush, Dave; Silvious, Jerry] USA, Res Lab, Adelphi, MD 20783 USA.
RP Tahmoush, D (reprint author), USA, Res Lab, Adelphi, MD 20783 USA.
NR 33
TC 0
Z9 0
U1 1
U2 1
PU IEEE
PI NEW YORK
PA 345 E 47TH ST, NEW YORK, NY 10017 USA
BN 978-1-4244-5019-0
PY 2009
BP 346
EP 351
PG 6
WC Computer Science, Interdisciplinary Applications; Engineering,
Electrical & Electronic; Mathematical & Computational Biology;
Statistics & Probability
SC Computer Science; Engineering; Mathematical & Computational Biology;
Mathematics
GA BOC54
UT WOS:000276176000055
ER
PT S
AU Rock, JC
Hudson, T
Wolfson, B
Lawrence, D
Pillans, B
Brown, AR
Coryell, L
AF Rock, Janice C.
Hudson, Tracy
Wolfson, Brandon
Lawrence, Daniel
Pillans, Brandon
Brown, Andrew R.
Coryell, Louis
