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Dynamic Active Contours for Visual Tracking Marc Niethammer, Allen Tannenbaum, and Sigurd Angenent
 

Summary: Dynamic Active Contours for Visual Tracking
Marc Niethammer, Allen Tannenbaum, and Sigurd Angenent
Abstract
Visual tracking using active contours is usually set in a static framework. The active contour tracks the object
of interest in a given frame of an image sequence. A subsequent prediction step ensures good initial placement
for the next frame. This approach is unnatural; the curve evolution gets decoupled from the actual dynamics of
the objects to be tracked. True dynamical approaches exist, all being marker particle based and thus prone to the
shortcomings of such particle-based implementations. In particular, topological changes are not handled naturally in
this framework. The now classical level set approach is tailored for evolutions of manifolds of codimension one.
However, dynamic curve evolution is at least a codimension two problem. We propose an efficient, level set based
approach for dynamic curve evolution, which addresses the artificial separation of segmentation and prediction while
retaining all the desirable properties of the level set formulation. It is based on a new energy minimization functional
which, for the first time, puts dynamics into the geodesic active contour framework.
Index Terms
Visual tracking, geodesic active contours, dynamic active contours, level set methods
Marc Niethammer and Allen Tannenbaum are with the School of Electrical and Computer Engineering, Georgia Institute of Technology,
Atlanta, GA 30332-0250; {marcn,tannenba}@ece.gatech.edu. Sigurd Angenent is with the Department of Mathematics, University of Wisconsin,
Madison, Wisconsin 53706; angenent@math.wisc.edu.
Corresponding author.
October 20, 2005 DRAFT

  

Source: Angenent, Sigurd - Department of Mathematics, University of Wisconsin at Madison

 

Collections: Mathematics