Paper
7 January 1999 Vehicle and personnel detection using seismic sensors
Richard A. Gramann, Mary Beth Bennett, Thomas D. O'Brien
Author Affiliations +
Proceedings Volume 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement; (1999) https://doi.org/10.1117/12.336952
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard A. Gramann, Mary Beth Bennett, and Thomas D. O'Brien "Vehicle and personnel detection using seismic sensors", Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); https://doi.org/10.1117/12.336952
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Cited by 16 scholarly publications.
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KEYWORDS
Sensors

Signal to noise ratio

Classification systems

Switches

Algorithm development

Data processing

Calibration

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