IIIE 20352
INSTITUTO DE INVESTIGACIONES EN INGENIERIA ELECTRICA "ALFREDO DESAGES"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Computationally efficient classification of human transport mode using micro-doppler signatures
Autor/es:
GARREAU, G. ; NICOLAOU, N. ; ANDREOU, C. ; D'URBAL, C. ; STUARTS, G. ; GEORGIOU, J.
Lugar:
Baltimore
Reunión:
Conferencia; Information Sciences and Systems (CISS), 2011 45th Annual Conference on; 2011
Resumen:
In this paper we present a micro-Doppler (mD) system and a computationally efficient classifier for the purpose of distinguishing different means of transport for human beings (pedestrians, inline skaters and cyclists) based on their mD time-frequency signatures. Accuracies as high as 97% are obtained while keeping the overall computational cost low.
