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.
Original language | English |
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Title of host publication | 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011 |
DOIs | |
Publication status | Published - 6 Jun 2011 |
Externally published | Yes |
Event | 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011 - Baltimore, MD, United States Duration: 23 Mar 2011 → 25 Mar 2011 |
Conference
Conference | 2011 45th Annual Conference on Information Sciences and Systems, CISS 2011 |
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Country/Territory | United States |
City | Baltimore, MD |
Period | 23/03/11 → 25/03/11 |
Keywords
- Micro-Doppler
- spectrogram
- standard deviation
- transport mode
- ultrasonic device