• DocumentCode
    1117501
  • Title

    Computer Tracking of Moving Point Targets in Space

  • Author

    Mohanty, N.C.

  • Author_Institution
    Aeronutronic Division, Ford Aerospace and Communications Corporation, Newport Beach, CA 92663; The Aerospace Corporation, P.O. Box 92957, Los Angeles, CA 90009.
  • Issue
    5
  • fYear
    1981
  • Firstpage
    606
  • Lastpage
    611
  • Abstract
    An adaptive algorithm based on the maximum likelihood ratio is described in this correspondence. The algorithm detects low-intensity targets and tracks their paths. The charged-coupled device (CCD) mosaic sensor collects photons from the targets and the sky background. The algorithm computes the noise statistics, simulates the target pattern, correlates the received data with the target patterns, compares with the corresponding threshold, and prints out the positions and paths of the targets when present.
  • Keywords
    Graphics; Histograms; Image edge detection; Image processing; Image segmentation; Pattern recognition; Relaxation methods; Robustness; Smoothing methods; Target tracking; Computer tracking; moving objects; pattern recognition; statistical inference;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.1981.4767153
  • Filename
    4767153