Human gait parameter estimation based on micro-doppler signatures using particle filters
2011 (English)In: Acoustics, Speech and Signal Processing (ICASSP), 2011, IEEE , 2011, 5940-5943 p.Conference paper (Refereed)
Monitoring and tracking human activities around restricted areas is an important issue in security and surveillance applications. The movement of different parts of the human body generates unique micro-Doppler features which can be extracted effectively using joint time-frequency analysis. In this paper, we describe the simultaneous tracking of both location and micro-Doppler features of a human using particle filters (PF). The results obtained using the data from a 77 GHz radar prove the successful usage of particle filters in tracking micro-Doppler features of the human gait.
Place, publisher, year, edition, pages
IEEE , 2011. 5940-5943 p.
, IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings, ISSN 1520-6149
human gait analysis; micro-Doppler; particle filters (PF); radar
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-73374DOI: 10.1109/ICASSP.2011.5947714ISI: 000296062406162ISBN: 978-1-4577-0538-0 (print)ISBN: 978-1-4577-0537-3 (online)OAI: oai:DiVA.org:liu-73374DiVA: diva2:471281
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), 22-27 May 2011, Prague, Czech Republic