• DocumentCode
    1298946
  • Title

    The structure of the human motion detection system

  • Author

    Doorn, Andrea J Van ; Koenderink, Jan J.

  • Author_Institution
    Dept. of Medical & Physiological Phys., State Univ. of Utrecht, Utrecht, Netherlands
  • Issue
    5
  • fYear
    1983
  • Firstpage
    916
  • Lastpage
    922
  • Abstract
    Unlike technical pattern recognizers, humans are adept at the detection of regions of coherent movements in changing images. Possible physiological mechanisms for this ability are discussed in terms of simple mechanistic models, and the results of psychophysical experiments are presented. These results are compatible with two different mechanistic interpretations. The main result is that the human movement detectors are tuned, and a whole ensemble of mechanisms, tuned to different velocities, reside at any location in the visual field. Thus an observer may easily see two velocity vectors simultaneously at a given place. Segregation occurs when different detectors are stimulated at each side of a border. The spatiotemporal parameters that characterize the units limit the resolution in time and space, whereas sensitivity depends on the number of units that participate in a detection. This number may range between a few (perhaps one) to a thousand or more. Apparently, resolution can be traded against noise immunity. It is argued that technical systems developed on a similar basis might be useful as preprocessors of sequences of images in order to detect features of interest (coherent regions) and to suggest a first rough image segmentation.
  • Keywords
    pattern recognition; picture processing; visual perception; coherent movements; human motion detection system; human movement detectors; image segmentation; mechanistic interpretations; pattern recognition; physiological mechanisms; picture processing; preprocessors; psychophysical experiments; resolution; spatiotemporal parameters; technical pattern recognizers; visual perception; Humans; Neurons; Physiology; Signal to noise ratio; Spatiotemporal phenomena; Visual systems; Visualization;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1983.6313087
  • Filename
    6313087