• DocumentCode
    2777365
  • Title

    A Fusion Approach for Image Triage using Single Trial ERP Detection

  • Author

    Huang, Yonghong ; Erdogmus, Deniz ; Mathan, Santosh ; Pavel, Misha

  • Author_Institution
    Dept. of Comput. Sci. & Electr. Eng., Oregon Health & Sci. Univ., Portland, OR
  • fYear
    2007
  • fDate
    2-5 May 2007
  • Firstpage
    473
  • Lastpage
    476
  • Abstract
    This paper addresses the problem of conducting visual target search on a large set of images. We use electroencephalography to detect targets and apply a fusion approach combining neurophysiologic signals and overt physical responses to achieve high target detection accuracy. We conducted an experimental evaluation of the method using trained human experts to find target objects in broad area satellite images. Based on the fusion results, we applied spatial target likelihood maps to present the estimated target locations in the images. The results demonstrate the efficacy of the method on multiple subjects
  • Keywords
    electroencephalography; medical image processing; neurophysiology; electroencephalography; image triage; neurophysiologic signals; satellite images; single trial ERP detection; visual target search; Detectors; Electric potential; Electroencephalography; Enterprise resource planning; Humans; Machine learning; Neural engineering; Object detection; Satellites; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2007. CNE '07. 3rd International IEEE/EMBS Conference on
  • Conference_Location
    Kohala Coast, HI
  • Print_ISBN
    1-4244-0792-3
  • Electronic_ISBN
    1-4244-0792-3
  • Type

    conf

  • DOI
    10.1109/CNE.2007.369712
  • Filename
    4227317