Title :
Computationally efficient classification of human transport mode using micro-doppler signatures
Author :
Garreau, Guillaume ; Nicolaou, Nicoletta ; Andreou, Charalambos ; D´Urbal, Cyrille ; Stuarts, Guillermo ; Georgiou, Julius
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Cyprus, Nicosia, Cyprus
Abstract :
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.
Keywords :
Doppler shift; road accidents; road safety; road traffic; signal classification; surveillance; time-frequency analysis; ultrasonic transducers; human transport mode classification; mD time-frequency signatures; microDoppler signatures; ultrasonic transducer; Computers; Image segmentation; Lead; Legged locomotion; Spectrogram; Transmitters; Micro-Doppler; spectrogram; standard deviation; transport mode; ultrasonic device;
Conference_Titel :
Information Sciences and Systems (CISS), 2011 45th Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-9846-8
Electronic_ISBN :
978-1-4244-9847-5
DOI :
10.1109/CISS.2011.5766136
