| ABSTRACT: Traditional techniques for tracking
non-rigid objects such as optical flow, correlation, active contours or
color, can not deal with situations where image changes are not due to
motion but appearance (e.g. tracking the lips when the teeth appear). Two
main contributions for appearance tracking of flexible objects are proposed.
The first one is a flexible generalization of Eigentracking within the
same robust continuous optimization framework. The second one is
a generalization of traditional graylevel eigenspaces, constructing a multiple
channel "eigenspace" using filter responses to give robustness against
variations in the training conditions such as illumination changes. Additionally,
3D geometric transformations are incorporated, a regularization term is
added for numerical stability reasons and the optimization problem
is solved in closed form. Experiments on lip tracking are reported. |
