• DocumentCode
    1277945
  • Title

    An adaptable time-delay neural-network algorithm for image sequence analysis

  • Author

    Wohler, Christian ; Anlauf, Joachim K.

  • Author_Institution
    DaimlerChrysler Res. & Technol., Ulm, Germany
  • Volume
    10
  • Issue
    6
  • fYear
    1999
  • fDate
    11/1/1999 12:00:00 AM
  • Firstpage
    1531
  • Lastpage
    1536
  • Abstract
    We present an algorithm based on a time-delay neural network with spatio-temporal receptive fields and adaptable time delays for image sequence analysis. Our main result is that tedious manual adaptation of the temporal size of the receptive fields can be avoided by employing a method to adapt the corresponding time delay and related network structure parameters during the training process
  • Keywords
    delays; image sequences; learning (artificial intelligence); neural nets; adaptable time-delay neural-network algorithm; image sequence analysis; spatio-temporal receptive fields; temporal size; training process; Backpropagation algorithms; Delay effects; Gray-scale; Image sequence analysis; Image sequences; Motion estimation; Neural networks; Neurons; Shape; Vehicle detection;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.809100
  • Filename
    809100