A variational approach for multi-valued velocity field estimation in transparent sequences
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
We propose a variational approach for multi-valued velocity field estimation in transparent sequences. Starting from existing local motion estimators, we show a variational model for integrating in space and time these local estimations to obtain a robust estimation of the multi-valued velocity field. With this approach, we can indeed estimate some multi-valued velocity fields which are not necessarily piecewise constant on a layer: Each layer can evolve according to non-parametric optical flow. We show how our approach outperforms some existing approaches, and we illustrate its capabilities on several challenging synthetic/real sequences.
Original language | English |
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Title of host publication | Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings |
Number of pages | 12 |
Publisher | Springer Verlag |
Publication date | 2007 |
Pages | 227-238 |
ISBN (Print) | 9783540728221 |
DOIs | |
Publication status | Published - 2007 |
Event | 1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 - Ischia, Italy Duration: 30 May 2007 → 2 Jun 2007 |
Conference
Conference | 1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 |
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Land | Italy |
By | Ischia |
Periode | 30/05/2007 → 02/06/2007 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4485 LNCS |
ISSN | 0302-9743 |
- Model competition, Multi-valued velocity fields, Transparent motion, Variational approaches
Research areas
ID: 262858363