Journal article
Learning to track the visual motion of contours
- Abstract:
- A development of a method for tracking visual contours is described. Given an “untrained” 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 motions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1016/0004-3702(95)00032-1
Authors
- Publisher:
- Elsevier
- Journal:
- Artificial Intelligence More from this journal
- Volume:
- 78
- Issue:
- 1–2
- Pages:
- 179–212
- Publication date:
- 1995-10-01
- Edition:
- Publisher's version
- DOI:
- ISSN:
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0004-3702
- Language:
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English
- Keywords:
- Subjects:
- UUID:
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uuid:f23386fd-29de-4e5e-9cb5-342f4e40453d
- Local pid:
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ora:8096
- Deposit date:
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2014-02-25
- ARK identifier:
Terms of use
- Copyright holder:
- Elsevier Science BV
- Copyright date:
- 1995
- Notes:
- © 1995 Elsevier Science B.V. All rights reserved. Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://www.elsevier.com/open-access/userlicense/1.0/ (accessed 24/02/2014).
- Licence:
- Other
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