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Proceedings Paper

A copula-based semi-parametric approach for footstep detection using seismic sensor networks
Author(s): Ashok Sundaresan; Arun Subramanian; Pramod K. Varshney; Thyagaraju Damarla
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Paper Abstract

In this paper, we consider the problem of detecting the presence of footsteps using signal measurements from a network of seismic sensors. Since the sensors are closely spaced, they result in correlated measurements. A novel method for detection that exploits the spatial dependence of sensor measurements using copula functions is proposed. An approach for selecting the copula function that is most suited for modeling the spatial dependence of sensor observations is also provided. The performance of the proposed approach is illustrated using real footstep signals collected using an experimental test-bed consisting of seismic sensors.

Paper Details

Date Published: 28 April 2010
PDF: 12 pages
Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100C (28 April 2010); doi: 10.1117/12.851209
Show Author Affiliations
Ashok Sundaresan, Syracuse Univ. (United States)
Arun Subramanian, Syracuse Univ. (United States)
Pramod K. Varshney, Syracuse Univ. (United States)
Thyagaraju Damarla, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 7710:
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
Jerome J. Braun, Editor(s)

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