A copula-based semi-parametric approach for footstep detection using seismic sensor networks

Ashok Sundaresan; Arun Subramanian; Pramod K. Varshney; Thyagaraju Damarla

doi:10.1117/12.851209

28 April 2010 A copula-based semi-parametric approach for footstep detection using seismic sensor networks

Ashok Sundaresan, Arun Subramanian, Pramod K. Varshney, Thyagaraju Damarla

Proceedings Volume 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010; 77100C (2010) https://doi.org/10.1117/12.851209
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Ashok Sundaresan, Arun Subramanian, Pramod K. Varshney, and Thyagaraju Damarla "A copula-based semi-parametric approach for footstep detection using seismic sensor networks", Proc. SPIE 7710, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010, 77100C (28 April 2010); https://doi.org/10.1117/12.851209

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