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ICASSP
2011
IEEE

Human gait parameter estimation based on micro-doppler signatures using particle filters

9 years 2 months ago
Human gait parameter estimation based on micro-doppler signatures using particle filters
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.
M. B. Guldogan, Fredrik Gustafsson, Umut Orguner,
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors M. B. Guldogan, Fredrik Gustafsson, Umut Orguner, S. Bjorklund, Henrik Petersson, Amer Nezirovic
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