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08291 Abstracts Collection – Statistical and Geometrical Approaches to Visual Motion Analysis

Authors: Daniel Cremers, Bodo Rosenhahn, and Alan L. Yuille

Published in: Dagstuhl Seminar Proceedings, Volume 8291, Statistical and Geometrical Approaches to Visual Motion Analysis (2008)


Abstract
From 13.07.2008 to 18.07.2008, the Dagstuhl Seminar 08291 ``Statistical and Geometrical Approaches to Visual Motion Analysis'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general.

Cite as

Daniel Cremers, Bodo Rosenhahn, and Alan L. Yuille. 08291 Abstracts Collection – Statistical and Geometrical Approaches to Visual Motion Analysis. In Statistical and Geometrical Approaches to Visual Motion Analysis. Dagstuhl Seminar Proceedings, Volume 8291, pp. 1-19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)


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@InProceedings{cremers_et_al:DagSemProc.08291.1,
  author =	{Cremers, Daniel and Rosenhahn, Bodo and Yuille, Alan L.},
  title =	{{08291 Abstracts Collection – Statistical and Geometrical Approaches to Visual Motion Analysis}},
  booktitle =	{Statistical and Geometrical Approaches to Visual Motion Analysis},
  pages =	{1--19},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8291},
  editor =	{Daniel Cremers and Bodo Rosenhahn and Alan L. Yuille},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.08291.1},
  URN =		{urn:nbn:de:0030-drops-16206},
  doi =		{10.4230/DagSemProc.08291.1},
  annote =	{Keywords: Motion Segmentation, Statistical Methods, Computational Geometry}
}
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