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Abstract: A development of a method for tracking visual contours is described. Given an "un-trained" tracker, a training-motion of an object can be observed over some extended time and stored as an image sequence. The image sequence is used to learn parameters in a stochastic differential equation model. These are used, in turn, to build a tracker whose predictor imitates the motion in the training set. Tests show that the resulting trackers can be markedly tuned to desired curve shapes and classes of... (Update)
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BibTeX entry: (Update)
A. Blake, M. Isard, and D. Reynard. Learning to track the visual motion of contours. Artificial Intelligence, No. 78, pp. 101-133, 1995. http://citeseer.ist.psu.edu/blake95learning.html More
@article{ blake95learning,
author = "Andrew Blake and Michael Isard and David Reynard",
title = "Learning to Track the Visual Motion of Contours",
journal = "Artificial Intelligence",
volume = "78",
number = "1-2",
pages = "179-212",
year = "1995",
url = "citeseer.ist.psu.edu/blake95learning.html" }
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