Referenced Items are not available for this document.
We present a probabilistic model for motion estimation in which motion characteristics are inferred on the basis of a finite mixture of motion models. The model is graphically represented in the form of a pairwise Markov random field network upon which a Loopy belief propagation algorithm is exploited to perform inference. Experiments on different video clips are presented and discussed.
Published in:
Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on
Date of Conference: 10-14 Sept. 2007
- Page(s):
- 55 - 60
- Print ISBN:
- 978-0-7695-2877-9
- INSPEC Accession Number:
- 9874570
- Conference Location :
- Modena
- Digital Object Identifier :
- 10.1109/ICIAP.2007.4362757
- Product Type:
- Conference Publications
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