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Summary: From Proceedings from the Workshop on Motion: Representation and Analysis (pp. 151-155), Charleston, SC, May 7-9 (1986).
The extraction of Spatio-temporal Energy in Human and Machine Vision
Edward H. Adelson and James R. Bergen
RCA Labs, David Sarnoff Research Center
Princeton, NJ 08540
Abstract:
Recent work in human motion perception has
conceptualized motion detection in terms of filters selective
for spatio-temporal (ST) energy. One class of such models
are called "energy models." They code motion energy, not
velocity as such, but we describe a velocity coding model
based on the ST energy within given bands of spatial and
temporal frequency.
The motion energy computations appear at first to be quite
different from the gradient-based computations that have
been used in machine vision. But gradient systems that
make appropriate use of confidence can be considered to
derive velocity from opponent energy measures.
We also note that in human vision, dynamic energy seems
to be coded in a set of transformed axes, which are
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