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.

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