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

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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
LandItaly
ByIschia
Periode30/05/200702/06/2007
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4485 LNCS
ISSN0302-9743

    Research areas

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

ID: 262858363