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

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

Standard

A variational approach for multi-valued velocity field estimation in transparent sequences. / Ramírez-Manzanares, Alonso; Rivera, Mariano; Kornprobst, Pierre; Lauze, François.

Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, 2007. p. 227-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4485 LNCS).

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

Harvard

Ramírez-Manzanares, A, Rivera, M, Kornprobst, P & Lauze, F 2007, A variational approach for multi-valued velocity field estimation in transparent sequences. in Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4485 LNCS, pp. 227-238, 1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007, Ischia, Italy, 30/05/2007. https://doi.org/10.1007/978-3-540-72823-8_20

APA

Ramírez-Manzanares, A., Rivera, M., Kornprobst, P., & Lauze, F. (2007). A variational approach for multi-valued velocity field estimation in transparent sequences. In Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings (pp. 227-238). Springer Verlag. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 4485 LNCS https://doi.org/10.1007/978-3-540-72823-8_20

Vancouver

Ramírez-Manzanares A, Rivera M, Kornprobst P, Lauze F. A variational approach for multi-valued velocity field estimation in transparent sequences. In Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag. 2007. p. 227-238. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4485 LNCS). https://doi.org/10.1007/978-3-540-72823-8_20

Author

Ramírez-Manzanares, Alonso ; Rivera, Mariano ; Kornprobst, Pierre ; Lauze, François. / A variational approach for multi-valued velocity field estimation in transparent sequences. Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings. Springer Verlag, 2007. pp. 227-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4485 LNCS).

Bibtex

@inproceedings{cf627c0a64ff487f9078e32a790f7c2f,
title = "A variational approach for multi-valued velocity field estimation in transparent sequences",
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.",
keywords = "Model competition, Multi-valued velocity fields, Transparent motion, Variational approaches",
author = "Alonso Ram{\'i}rez-Manzanares and Mariano Rivera and Pierre Kornprobst and Fran{\c c}ois Lauze",
year = "2007",
doi = "10.1007/978-3-540-72823-8_20",
language = "English",
isbn = "9783540728221",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "227--238",
booktitle = "Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings",
note = "1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007 ; Conference date: 30-05-2007 Through 02-06-2007",

}

RIS

TY - GEN

T1 - A variational approach for multi-valued velocity field estimation in transparent sequences

AU - Ramírez-Manzanares, Alonso

AU - Rivera, Mariano

AU - Kornprobst, Pierre

AU - Lauze, François

PY - 2007

Y1 - 2007

N2 - 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.

AB - 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.

KW - Model competition

KW - Multi-valued velocity fields

KW - Transparent motion

KW - Variational approaches

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U2 - 10.1007/978-3-540-72823-8_20

DO - 10.1007/978-3-540-72823-8_20

M3 - Article in proceedings

AN - SCOPUS:37249044860

SN - 9783540728221

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 227

EP - 238

BT - Scale Space and Variational Methods in Computer Vision, First International Conference, SSVM 2007, Proceedings

PB - Springer Verlag

T2 - 1st International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2007

Y2 - 30 May 2007 through 2 June 2007

ER -

ID: 262858363