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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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