• DocumentCode
    3587813
  • Title

    Spectral multiscale coverage with the feature aided CPHD tracker

  • Author

    Georgescu, Ramona ; Zhang, Shuo ; Surana, Amit ; Speranzon, Alberto ; Erdinc, Ozgur

  • Author_Institution
    United Technol. Res. Center, East Hartford, CT, USA
  • fYear
    2014
  • Firstpage
    904
  • Lastpage
    908
  • Abstract
    A closed loop approach for surveillance was developed leveraging the Spectral Multiscale Coverage (SMC) algorithm for sensor management coupled with the Cardinalized Probability Hypothesis Density (CPHD) multitarget tracker. Additionally, the CPHD was formulated such that it is able to ingest features, if available. Simulations with fixed and mobile sensors (the latter, tasked by the SMC) providing data to the tracker underlined the benefits of sensor fusion with respect to standard metrics of performance.
  • Keywords
    probability; sensor fusion; spectral analysis; surveillance; target tracking; SMC algorithm; cardinalized probability hypothesis density; closed loop approach; feature aided CPHD multitarget tracker; mobile sensor; sensor fusion; sensor management; spectral multiscale coverage; spectral multiscale coverage algorithm; surveillance; Mobile communication; Noise measurement; Radar tracking; Robot sensing systems; Target tracking; CPHD; SMC; multitarget tracking; sensor fusion; surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094583
  • Filename
    7094583
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3587813