MODEL-BASED HAND TRACKING USING AN UNSCENTED KALMAN FILTER
B.Stenger, P.R.S. Mendonça and R. Cipolla
This paper presents a novel method for hand tracking. It uses a 3D model built from quadrics which approximates the anatomy of a human hand. This approach allows for the use of results from projective geometry that yield an elegant technique to generate the projection of the model as a set of conics, as well as providing an efficient algorithm to handle self-occlusion. Once the model is projected, an Unscented Kalman Filter is used to update its pose in order to minimise the geometric error between the model projection and a video sequence on the background. Results from experiments with real data show the accuracy of the technique.
If you have difficulty viewing files that end
which are gzip compressed, then you may be able to find
tools to uncompress them at the gzip
If you have difficulty viewing files that are in PostScript, (ending
'.ps.gz'), then you may be able to
find tools to view them at
We have attempted to provide automatically generated PDF copies of documents for which only PostScript versions have previously been available. These are clearly marked in the database - due to the nature of the automatic conversion process, they are likely to be badly aliased when viewed at default resolution on screen by acroread.