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Proceedings Paper

An image-based approach for classification of human micro-doppler radar signatures
Author(s): Fok Hing Chi Tivive; Son Lam Phung; Abdesselam Bouzerdoum
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Paper Abstract

With the advances in radar technology, there is an increasing interest in automatic radar-based human gait identification. This is because radar signals can penetrate through most dielectric materials. In this paper, an image-based approach is proposed for classifying human micro-Doppler radar signatures. The time-varying radar signal is first converted into a time-frequency representation, which is then cast as a two-dimensional image. A descriptor is developed to extract micro-Doppler features from local time-frequency patches centered along the torso Doppler frequency. Experimental results based on real data collected from a 24-GHz Doppler radar showed that the proposed approach achieves promising classification performance.

Paper Details

Date Published: 23 May 2013
PDF: 12 pages
Proc. SPIE 8734, Active and Passive Signatures IV, 873406 (23 May 2013); doi: 10.1117/12.2015707
Show Author Affiliations
Fok Hing Chi Tivive, Univ. of Wollongong (Australia)
Son Lam Phung, Univ. of Wollongong (Australia)
Abdesselam Bouzerdoum, Univ. of Wollongong (Australia)

Published in SPIE Proceedings Vol. 8734:
Active and Passive Signatures IV
G. Charmaine Gilbreath; Chadwick Todd Hawley, Editor(s)

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