• DocumentCode
    305293
  • Title

    "Optical filter fusion for object detection"

  • Author

    Casasent, David

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    18-21 Nov. 1996
  • Abstract
    No one algorithm is felt to be appropriate for detection. Thus to achieve this, first and most important, and most computationally intensive operation in image processing, we consider the use of several detection algorithms and fusion of their outputs to reduce false alarms PFA while retaining high detection rates P/sub D/. The detection algorithms must be shift-invariant, since multiple objects can be present and since object location is not known. Thus, correlation filters are attractive (they are shift-invariant and provide processing gain).
  • Keywords
    image processing; object detection; optical correlation; physics computing; spatial filters; wavelet transforms; computationally intensive operation; correlation filters; detection algorithms; false alarm reduction; high detection rates; image processing; multiple objects; object detection; object location; optical filter fusion; processing gain; shift-invariant; spatial filters; Constraint optimization; Data processing; Detection algorithms; Gabor filters; Image processing; Logic; Object detection; Optical distortion; Optical filters; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Lasers and Electro-Optics Society Annual Meeting, 1996. LEOS 96., IEEE
  • Conference_Location
    Boston, MA, USA
  • Print_ISBN
    0-7803-3160-5
  • Type

    conf

  • DOI
    10.1109/LEOS.1996.565245
  • Filename
    565245