• DocumentCode
    3315190
  • Title

    Biomimetic Motion Detection

  • Author

    Brinkworth, Russell SA ; Carroll, David C O

  • Author_Institution
    Univ. of Adelaide, Adelaide
  • fYear
    2007
  • fDate
    3-6 Dec. 2007
  • Firstpage
    137
  • Lastpage
    142
  • Abstract
    We present the results of a biomimetic model of motion detection in the insect visual system based on an elaborated correlational elementary motion detector. This model incorporates a number of elements known, or predicted, to be in the insect motion processing pathway. The results show that this model greatly diminishes velocity ambiguity across images from different environments. Due to the nature of the algorithms underlying the model it lends itself to implementation in either digital or analogue hardware including neuromorphic analogue VLSI. The successful application of this algorithm has applications in the development of miniature autonomous systems in defence and civilian roles, including robotics, miniature unmanned aerial vehicles and collision avoidance sensors.
  • Keywords
    VLSI; biomimetics; cognition; collision avoidance; remotely operated vehicles; robot vision; visual perception; biomimetic model; biomimetic motion detection; collision avoidance sensors; elaborated correlational elementary motion detector; insect motion processing; insect visual system; miniature autonomous systems; miniature unmanned aerial vehicles; neuromorphic analogue VLSI; robotics; Biomimetics; Detectors; Hardware; Insects; Motion detection; Neuromorphics; Predictive models; Robot sensing systems; Very large scale integration; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information, 2007. ISSNIP 2007. 3rd International Conference on
  • Conference_Location
    Melbourne, Qld.
  • Print_ISBN
    978-1-4244-1501-4
  • Electronic_ISBN
    978-1-4244-1502-1
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2007.4496833
  • Filename
    4496833