An seismic classification system was designed for the recognition
of different vehicle categories: wheeled and tracked vehicle. The
focus of this research was to study the usability of seismic
features for distinction between these classes in traffic scenarios
which include low and high vehicle's velocity and a combined
traffic situation.classification system can be extended in a way
that extracted features are utilized as characteristic
fingerprints, which affords tracking of vehicles over multiple
sensor nodes.
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