The use of
color images for motion estimation is investigated in this
work. Beyond the straightforward approach of using
the color components as separate images of the same
scene, a new method, based on exploiting color
invariance under motion, is discussed. Two
different sets of color-related, locally computable
motion "invariants" are analyzed and tested in this
paper, and the results of motion estimation based on
them are compared to the direct use of the RGB
brightness functions. Copyright 1997 Academic
Press.
*To whom correspondence
should be addressed at MIT AI Lab, 545 Technology Square, Room 737,
Cambridge, MA 01239.
On
sabbatical at AT&T Bell Laboratories, Murray Hill, NJ
07974.
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