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

Ashok Sundaresan, Arun Subramanian, Pramod Kumar Varshney, Thyagaraju Damarla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Volume7710
DOIs
StatePublished - 2010
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010 - Orlando, FL, United States
Duration: Apr 7 2010Apr 8 2010

Other

OtherMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
CountryUnited States
CityOrlando, FL
Period4/7/104/8/10

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ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Applied Mathematics
  • Condensed Matter Physics

Cite this

Sundaresan, A., Subramanian, A., Varshney, P. K., & Damarla, T. (2010). A copula-based semi-parametric approach for footstep detection using seismic sensor networks. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 7710). [77100C] https://doi.org/10.1117/12.851209