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

Author

Guldogan, M.B. ; Gustafsson, F. ; Orguner, U. ; Björklund, S. ; Petersson, H. ; Nezirovic, A.

Author_Institution

Dept. of Electr. Eng., Linkoping Univ., Linkoping, Sweden

fYear

2011

fDate

22-27 May 2011

Firstpage

5940

Lastpage

5943

Abstract

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.

Keywords

feature extraction; parameter estimation; particle filtering (numerical methods); time-frequency analysis; PF; frequency 77 GHz; human gait parameter estimation; joint time-frequency analysis; microDoppler signature; particle filters; security application; surveillance application; Feature extraction; Humans; Leg; Legged locomotion; Radar tracking; Torso; human gait analysis; micro-Doppler; particle filters (PF); radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Conference_Location

Prague

ISSN

1520-6149

Print_ISBN

978-1-4577-0538-0

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2011.5947714

Filename

5947714