• DocumentCode
    2527455
  • Title

    Analysis of multimodal binary detection systems based on dependent/independent modalities

  • Author

    Koval, Oleksiy ; Voloshynovskiy, Sviatoslav ; Pun, Thierry

  • Author_Institution
    CUI-Univ. of Geneva, Geneva
  • fYear
    2007
  • fDate
    1-3 Oct. 2007
  • Firstpage
    70
  • Lastpage
    73
  • Abstract
    Performance limits of multimodal detection systems are analyzed in this paper. Two main setups are considered, i.e., based on fusion of dependent and independent modalities, respectively. The analysis is performed in terms of attainable probability of detection errors characterized by the corresponding error exponents. It is demonstrated that an expected performance gain from fusion of dependent modalities is superior than in the case when one fuses independent signals. In order to quantify the efficiency of dependent modality fusion versus the independent case, the problem analysis is performed in the Gaussian formulation.
  • Keywords
    Gaussian processes; signal detection; Gaussian analysis; dependent modalities; detection errors; error exponents; independent modalities; modalities fusion; multimodal binary detection systems; performance gain; signal fusion; Bioinformatics; Biometrics; Covariance matrix; Fuses; Information analysis; Performance analysis; Performance gain; Random variables; Sensor fusion; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Signal Processing, 2007. MMSP 2007. IEEE 9th Workshop on
  • Conference_Location
    Crete
  • Print_ISBN
    978-1-4244-1274-7
  • Type

    conf

  • DOI
    10.1109/MMSP.2007.4412820
  • Filename
    4412820