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IJCV
2000

Contour Tracking in Clutter: A Subset Approach

10 years 3 months ago
Contour Tracking in Clutter: A Subset Approach
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of contour space. Greater complexity is added to the contour model by analyzing rigid and non-rigid transformations of contours separately. In the course of tracking, multiple contours may be observed due to the presence of extraneous edges in the form of clutter; the learned model guides the algorithm in picking out the correct one. The algorithm, which is posed as a solution to a minimization problem, is made efficient by the use of several iterative schemes. Results applying the proposed algorithm to the tracking of a flexing finger and to a conversing individual's lips are presented.
Daniel Freedman, Michael S. Brandstein
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2000
Where IJCV
Authors Daniel Freedman, Michael S. Brandstein
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