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

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

Research output: Chapter in Book/Entry/PoemConference contribution

10 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 publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2010
DOIs
StatePublished - 2010
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010 - Orlando, FL, United States
Duration: Apr 7 2010Apr 8 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7710
ISSN (Print)0277-786X

Other

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

ASJC Scopus subject areas

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

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