Tracking in a
Real-Time Image Segmentation
for Action Recognition
In order to recognize actions of a human properly, an algorithm must be
able to detect a person accurately in any given image. This data will be
used to ascertain what action the user is performing. Many methods have
been proposed that use a temporal differencing technique in which the image
of the user is subtracted from a previously known image with the same background,
without the user. These methods, however, are plagued with problems of
noise and ``ghosting,'' the undesirable introduction of image fragments
as a result of changes in light intensity and moving objects in the background.
The proposed algorithm combines several image processing methods in order
to produce a clean difference image, while being far more robust to changes
in light intensities and in the background scene.
S. Arseneau, J. Cooperstock
Mon Jun 26 21:22:20 GMT 2000