An image-based approach for classification of human micro-doppler radar signatures

Authors

Fok Hing Chi Tivive, University of WollongongFollow
Son Lam Phung, University of WollongongFollow
Abdesselam Bouzerdoum, University of WollongongFollow

RIS ID

81297

Publication Details

F. Tivive, S. Phung & A. Bouzerdoum, "An image-based approach for classification of human micro-doppler radar signatures," in Proceedings of SPIE - The International Society for Optical Engineering, 2013, pp. 873406-1-873406-12.

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.