• DocumentCode
    289876
  • Title

    Modeling and electronic implementation of directional selectivity

  • Author

    Nabet, Bahram ; Shreesha, Vasanth

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • fYear
    1993
  • fDate
    17-20 Oct 1993
  • Firstpage
    484
  • Abstract
    A shunting model of motion detection treatment is proposed and implemented. It is analyzed using a perturbational technique to model the behavior and extract the velocity information including both direction and speed. The model´s properties are illustrated by constructing a simple hardware analogue circuit. Response of the circuit to a variety of stimulus distributions show that the output is sensitive to speed and also is markedly different for movement in opposite directions. In order to analyze the behavior of the model, a perturbational technique is developed which describes the input-output relation in the form of a Volterra integral series. It is shown that the velocity term can be identified with the second order kernel while the second order Volterra operator is a running autocorrelation operator. This is in agreement with alternative methods of motion information analysis
  • Keywords
    Volterra series; computer vision; motion estimation; neural nets; perturbation techniques; Volterra integral series; analogue circuit; autocorrelation operator; directional selectivity; motion information analysis; perturbational technique; shunting motion detection; shunting unidirectional neural nets; stimulus distributions; Circuits; Data mining; Detectors; Equations; Hardware; Information analysis; Motion analysis; Motion detection; Nearest neighbor searches; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on
  • Conference_Location
    Le Touquet
  • Print_ISBN
    0-7803-0911-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1993.385059
  • Filename
    385059