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

Fok Hing Chi Tivive; Son Lam Phung; Abdesselam Bouzerdoum

doi:10.1117/12.2015707

23 May 2013 An image-based approach for classification of human micro-doppler radar signatures

Fok Hing Chi Tivive, Son Lam Phung, Abdesselam Bouzerdoum

Proceedings Volume 8734, Active and Passive Signatures IV; 873406 (2013) https://doi.org/10.1117/12.2015707
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2015707

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available