Real-Time Maintenance of Figure-Ground Segmentation
Peter Nordlund and Jan-Olof Eklundh
An approach to figure-ground segmentation based on
a 2-dimensional histogram in feature space
is presented. The histogram is then analyzed with a peak-finding algorithm
designed with real-time performance in mind.
The most significant peaks in the histogram
are backprojected to the image to produce an object mask.
The method is applied to segmentation based on a 2-D color space
and also on a combination of motion and stereo disparities.
Experiments with a system
grabbing images direct from a CCD-camera
with real-time performance having typical frame-rates of about 10 Hz is
real-time, image motion, segmentation, cue-integration
Article in postscript, 3.3 Mb
Same article, but with more color images than originally, postscript, 3.9 Mb
Last modified: Wed Jan 13 14:34:32 MET 1999