• DocumentCode
    1464496
  • Title

    Near-IR Sparse Detector Sensor for Intelligent Electronic Fence Applications

  • Author

    Russomanno, David J. ; Chari, Srikant ; Jacobs, Eddie L. ; Halford, Carl

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA
  • Volume
    10
  • Issue
    6
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    1106
  • Lastpage
    1107
  • Abstract
    A proof-of-concept, active near-IR sensor coupled with a classification algorithm that uses the Mahalanobis distance has been shown to be a feasible approach for discriminating among humans, animals, and vehicles for intelligent electronic fence applications. Analysis shows that only a sparse vertical array of detectors is required to sense minimal features from moving objects for reliable discrimination.
  • Keywords
    home automation; infrared detectors; object recognition; Mahalanobis distance; classification algorithm; intelligent electronic fence applications; near infrared sparse detector sensor; Animals; Data acquisition; Detectors; Humans; Intelligent sensors; Optical sensors; Prototypes; Sensor arrays; Sensor systems; Vehicles; Sparse detector; unattended ground sensor;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2009.2038894
  • Filename
    5443783
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1464496