Region Tracking via Level Set PDEs without Motion Computation

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Region Tracking via Level Set PDEs without Motion Computation
Tracking regions in an image sequence is a challenging and di cult problem in image processing and computer vision, and at the same time, one that has many important applications: Automated video surveillance, video database searchand retrieval, automated video editing, ... So far, numerous approaches to region tracking have been proposed. Many of them su er from excessive constraints imposed on the motion of the region being tracked and need an explicit motion model (e.g. a ne, euclidean, ...). Some, which do not need a parametrized motion model, rely instead on a dense motion eld. By and large, most rely on some kind or other of motion information. Those which do not use any motion information use instead a model of the region being tracked, typically by assuming strong intensity boundaries, or constraining the shape of the region to belong to a parametrized family of shapes. In this paper, we propose a novel approach to region tracking that derives from a Bayesian formulation. The ...
Abdol-Reza Mansouri
Added 23 Dec 2010
Updated 23 Dec 2010
Type Journal
Year 2002
Where PAMI
Authors Abdol-Reza Mansouri
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