A Variational Approach for Object Contour Tracking

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A Variational Approach for Object Contour Tracking
In this paper we describe a new framework for the tracking of closed curves described through implicit surface modeling. The approach proposed here enables a continuous tracking along an image sequence of deformable object contours. Such an approach is formalized through the minimization of a global spatio-temporal continuous cost functional stemming from a Bayesian Maximum a posteriori estimation of a Gaussian probability distribution. The resulting minimization sequence consists in a forward integration of an evolution law followed by a backward integration of an adjoint evolution model. This latter pde include also a term related to the discrepancy between the curve evolution law and a noisy observation of the curve. The efficiency of the approach is demonstrated on image sequences showing deformable objects of different natures.
Nicolas Papadakis, Étienne Mémin, Fr
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where VLSM
Authors Nicolas Papadakis, Étienne Mémin, Frédéric Cao
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