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  Optimal Dominant Motion Estimation using Adaptive Search of Transformation Space

Ulges, A., Lampert, C., Keysers, D., & Breuel, T. (2007). Optimal Dominant Motion Estimation using Adaptive Search of Transformation Space. In A. Hamprecht, C. Schnörr, & B. Jähne (Eds.), Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007 (pp. 204-215). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-CBF3-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0003-D222-9
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F978-3-540-74936-3_21.pdf (Publisher version)
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 Creators:
Ulges, A, Author
Lampert, CH1, 2, Author           
Keysers, D, Author
Breuel, TM, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The extraction of a parametric global motion from a motion field is a task with several applications in video processing. We present two probabilistic formulations of the problem and carry out optimization using the RAST algorithm, a geometric matching method novel to motion estimation in video. RAST uses an exhaustive and adaptive search of transformation space and thus gives -- in contrast to local sampling optimization techniques used in the past -- a globally optimal solution. Among other applications, our framework can thus be used as a source of ground truth for benchmarking motion estimation algorithms. Our main contributions are: first, the novel combination of a state-of- the-art MAP criterion for dominant motion estimation with a search procedure that guarantees global optimality. Second, experimental re- sults that illustrate the superior performance of our approach on synthetic flow fields as well as real-world video streams. Third, a significant speedup of the search achieved by extending the mod
el with an additional smoothness prior.

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 Dates: 2007-09
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-540-74936-3_21
BibTex Citekey: 4747
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Title: 29th Annual Symposium of the German Association for Pattern Recognition (DAGM 2007)
Place of Event: Heidelberg, Germany
Start-/End Date: 2007-09-12 - 2007-09-14

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Title: Pattern Recognition: 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007
Source Genre: Proceedings
 Creator(s):
Hamprecht, AF, Editor
Schnörr, C, Editor
Jähne, B, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 204 - 215 Identifier: ISBN: 978-3-540-74933-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 4713 Sequence Number: - Start / End Page: - Identifier: -