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Proceedings Paper

Acoustic change detection algorithm using an FM radio
Author(s): Geoffrey H. Goldman; Owen Wolfe
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Paper Abstract

The U.S. Army is interested in developing low-cost, low-power, non-line-of-sight sensors for monitoring human activity. One modality that is often overlooked is active acoustics using sources of opportunity such as speech or music. Active acoustics can be used to detect human activity by generating acoustic images of an area at different times, then testing for changes among the imagery. A change detection algorithm was developed to detect physical changes in a building, such as a door changing positions or a large box being moved using acoustics sources of opportunity. The algorithm is based on cross correlating the acoustic signal measured from two microphones. The performance of the algorithm was shown using data generated with a hand-held FM radio as a sound source and two microphones. The algorithm could detect a door being opened in a hallway.

Paper Details

Date Published: 26 May 2012
PDF: 9 pages
Proc. SPIE 8382, Active and Passive Signatures III, 83820P (26 May 2012); doi: 10.1117/12.918299
Show Author Affiliations
Geoffrey H. Goldman, U.S. Army Research Lab. (United States)
Owen Wolfe, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 8382:
Active and Passive Signatures III
G. Charmaine Gilbreath; Chadwick Todd Hawley, Editor(s)

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