Visual Processing of Object Velocity and Acceleration.

Abstract

The main objective of this project was the analysis of the detection of trajectory signals in random motion noise. Results from experiments demonstrated that detection was limited by the probability of mismatch, not noise density per se; detection was based on a motion signal, not a form or position signal; detection was limited by higher-order aspects of motion processing, not the ratio of signal to noise in the primary motion detectors. The Yuille-Grzywacz "Motion Coherence" model was modified to provide a computational model for these findings. Computer simulations showed that this model was adequate to reproduce our results. In addition, three other projects were supported by this grant: motion transparency from speed signals alone; speed discrimination for targets moving in depth; trajectory motion detection in three-dimensional noise. Nine papers from this project have been accepted in referred journals; one additional paper has been submitted. Four chapters were also supported by this grant. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Mar 06, 1995
Accession Number
ADA292789

Entities

People

  • Suzanne Mckee

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Cognition
  • Computational Science
  • Computer Science
  • Computer Simulations
  • Computer Vision
  • Computers
  • Detection
  • Detectors
  • Discrimination
  • Motion Detectors
  • Probability
  • Simulations
  • Three Dimensional
  • Trajectories
  • Transparencies
  • Two Dimensional

Readers

  • Marine Hydrodynamics
  • Radar Systems Engineering.
  • Technical Research and Report Writing.