Visual Processing of Object Velocity and Acceleration

Abstract

Human observers can easily detect a signal dot moving, in apparent motion, on a trajectory embedded in a background of random-direction motion noise. A high detection rate is possible even though the spatial and temporal characteristics(step size and frame rate) of the signal are identical to the noise, making the signal indistinguishable from the noise on the basis of a single pair of frames. The success rate for detecting the signal dot was as high as 90% when the probability of mismatch from frame-to-frame, based on nearest neighbor matching was 0.3 control experiments showed that trajectory detection is not based on detecting a 'string' of collinear dots, i.e., a stationary position cue. Nor is a trajectory detected because produces stronger signals in independent 'local' motion detectors. For one thing, trajectory detection improves with increases in duration, up to 250 - 400 msec, a duration longer than the integration typically associated with a single motion detector. Moreover, the signal dot need not travel in a straight line to be detectable. The signal dot was as reliably detected when it changed its direction a small amount (<30 deg) each frame. Consistent with this, circular paths of sufficiently low curvature were as detectable as straight trajectories.

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Document Details

Document Type
Technical Report
Publication Date
Feb 04, 1994
Accession Number
ADA277425

Entities

People

  • Suzanne Mckee

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Computer Vision
  • Detection
  • Detectors
  • Identification
  • Image Processing
  • Image Recognition
  • Motion Detectors
  • Moving Targets
  • Recognition
  • Scientific Research
  • Security
  • Signal Detection
  • Three Dimensional
  • Trajectories

Fields of Study

  • Computer science

Readers

  • Educational Psychology
  • Image Processing and Computer Vision.
  • Space Exploration and Orbital Mechanics.