A variational approach for multi-valued velocity field estimation in transparent sequences

Alonso Ramírez-Manzanares*, Mariano Rivera, Pierre Kornprobst, François Lauze

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

4 Citations (Scopus)

Abstract

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 languageEnglish
Title of host publicationScale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings
Number of pages12
PublisherSpringer Verlag
Publication date2007
Pages227-238
ISBN (Print)9783540728221
DOIs
Publication statusPublished - 2007
Event1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 - Ischia, Italy
Duration: 30 May 20072 Jun 2007

Conference

Conference1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007
Country/TerritoryItaly
CityIschia
Period30/05/200702/06/2007
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4485 LNCS
ISSN0302-9743

Keywords

  • Model competition
  • Multi-valued velocity fields
  • Transparent motion
  • Variational approaches

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