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Niethammer M, Tannenbaum A, Angenent S. Dynamic Active Contours for Visual Tracking. IEEE Trans Automat Contr. 2006;51(4):562-579doi: 10.1109/TAC.2006.872837.
Niethammer, M., Tannenbaum, A., & Angenent, S. (2006). Dynamic Active Contours for Visual Tracking. IEEE transactions on automatic control, 51(4), 562-579. https://doi.org/10.1109/TAC.2006.872837
Niethammer, Marc, et al. "Dynamic Active Contours for Visual Tracking." IEEE transactions on automatic control vol. 51,4 (2006): 562-579. doi: https://doi.org/10.1109/TAC.2006.872837
Niethammer M, Tannenbaum A, Angenent S. Dynamic Active Contours for Visual Tracking. IEEE Trans Automat Contr. 2006;51(4):562-579. doi: 10.1109/TAC.2006.872837. PMID: 23729836; PMCID: PMC3666594.
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IEEE Trans Automat Contr. 2006;51(4):562-579. doi: 10.1109/TAC.2006.872837.

Dynamic Active Contours for Visual Tracking.

IEEE transactions on automatic control

Marc Niethammer, Allen Tannenbaum, Sigurd Angenent

Affiliations

  1. Brigham and Women's Hospital, Departments of Psychiatry and Radiology, Harvard Medical School, Boston, MA 02215 USA.

PMID: 23729836 PMCID: PMC3666594 DOI: 10.1109/TAC.2006.872837

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.

Keywords: Dynamic active contours; geodesic active contours; level set methods; visual tracking

References

  1. Proc Natl Acad Sci U S A. 1996 Feb 20;93(4):1591-5 - PubMed
  2. IEEE Trans Image Process. 2000;9(2):299-301 - PubMed

Publication Types

Grant support