HUMAN GAIT PARAMETER ESTIMATION BASED ON MICRO-DOPPLER SIGNATURES USING PARTICLE FILTERS


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

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Çek Cumhuriyeti, 22 - 27 Mayıs 2011, ss.5940-5943 identifier identifier

  • Doi Numarası: 10.1109/icassp.2011.5947714
  • Basıldığı Şehir: Prague
  • Basıldığı Ülke: Çek Cumhuriyeti
  • Sayfa Sayıları: ss.5940-5943

Özet

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.