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Proceedings Paper

Temporal frequency spectrum for describing and modeling motion perception
Author(s): William Paul Marshak
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Paper Abstract

Inherent limitations of the biological mechanism of vision have resulted in elegant algorithms to accomplish the required information processing. Biological and psychophysical evidence have led to hypothesizing just such an algorithm for the processing of motion information. The Temporal Frequency Spectrum (TFS) model for motion perception uses a transformation process analogous with those Fourier processes sometimes used in the study of spatial vision. The TFS can serve as a metric for describing complex moving scenes and as a model for human motion perception. This model can accomplish motion perception even when the viewer is in motion. Human psychophysical evidence is provided consistent with a TFS mechanism and the use of a TFS mechanism in machine vision is considered.

Paper Details

Date Published: 16 September 1992
PDF: 5 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138295
Show Author Affiliations
William Paul Marshak, Air Force Armstrong Lab. (United States)

Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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