Paper
16 September 1992 Temporal frequency spectrum for describing and modeling motion perception
William Paul Marshak
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William Paul Marshak "Temporal frequency spectrum for describing and modeling motion perception", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); https://doi.org/10.1117/12.138295
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KEYWORDS
Motion models

Visual process modeling

Machine vision

Spatial frequencies

Visualization

Data processing

Object recognition

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