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23 May 2013 An image-based approach for classification of human micro-doppler radar signatures
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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.
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Fok Hing Chi Tivive, Son Lam Phung, and Abdesselam Bouzerdoum "An image-based approach for classification of human micro-doppler radar signatures", Proc. SPIE 8734, Active and Passive Signatures IV, 873406 (23 May 2013);

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