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Proceedings Paper

Vehicle and personnel detection using seismic sensors
Author(s): Richard A. Gramann; Mary Beth Bennett; Thomas D. O'Brien
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Paper Abstract

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.

Paper Details

Date Published: 7 January 1999
PDF: 12 pages
Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); doi: 10.1117/12.336952
Show Author Affiliations
Richard A. Gramann, Univ. of Texas at Austin (United States)
Mary Beth Bennett, Univ. of Texas at Austin (United States)
Thomas D. O'Brien, Univ. of Texas at Austin (United States)


Published in SPIE Proceedings Vol. 3577:
Sensors, C3I, Information, and Training Technologies for Law Enforcement
Edward M. Carapezza; David B. Law, Editor(s)

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