Estimation of Motion Vector Fields |
Rasmus Larsen
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| Abstract | This paper presents an approach to the estimation of 2-D motion vector fields from time varying image sequences. We use a piecewise smooth model based on coupled vector/binary Markov random fields. We find the maximum a posteriori solution by simulated annealing. The algorithm generate sample fields by means of stochastic relaxation implemented via the Gibbs sampler. |
| Keywords | Markov random fields, optical flow |
| Type | Conference paper [Without referee] |
| Conference | Proceedings of the 2nd Danish Conference on Pattern Recognition and Image Analysis (DANKOMB, DSAGM yearly meeting), Aug. 25-26 |
| Editors | Peter Johansen |
| Year | 1993 pp. 37-42 |
| Publisher | Dept. of Computer Science (DIKU), University of Copenhagen |
| Address | |
| Series | DIKU Rapport 93/17 |
| ISBN / ISSN | ISSN 0107-8283 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |