Three axis seismometers, buried up to 3 feet below the surface, have been used to detect and classify a variety of vehicles. Automated vehicle classification algorithms have been developed to categorize the vehicle by the number of cylinders in the engine, number of axles, engine type (gas or diesel), and its relative weight. With additional information on the propagation in the environment, and the location of the sensor relative to the path of the vehicle, absolute vehicle weight determination may be possible. Detection of personnel walking, digging activity, and dumping, have also been demonstrated. Standalone software to detect and classify the vehicle, running on a Pentium- based PC clone, has been written. Details on the standalone system, a discussion of the algorithms, and description of the performance of the system, are presented. Possible applications of such a system include unattended perimeter monitoring, vehicle counting, as well as surveillance applications.


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    Titel :

    Vehicle and personnel detection using seismic sensors


    Beteiligte:

    Kongress:

    Sensors, C3I, Information, and Training Technologies for Law Enforcement ; 1998 ; Boston,MA,United States


    Erschienen in:

    Proc. SPIE ; 3577 ; 74


    Erscheinungsdatum :

    07.01.1999





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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