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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);
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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