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  Model-Based Motion Capture for Crash Test Video Analysis

Gall, J., Rosenhahn, B., Gehrig, S., & Seidel, H.-P. (2008). Model-Based Motion Capture for Crash Test Video Analysis. In G. Rigoll (Ed.), Pattern Recognition: 30th DAGM Symposium (pp. 92-101). Berlin: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1C3D-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-1C3F-3
Genre: Conference Paper

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 Creators:
Gall, Jürgen1, Author           
Rosenhahn, Bodo1, Author           
Gehrig, Stefan, Author
Seidel, Hans-Peter1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: In this work, we propose a model-based approach for estimating the 3D position and orientation of a dummy's head for crash test video analysis. Instead of relying on photogrammetric markers which provide only sparse 3D measurements, features present in the texture of the object's surface are used for tracking. In order to handle also small and partially occluded objects, the concepts of region-based and patch-based matching are combined for pose estimation. For a qualitative and quantitative evaluation, the proposed method is applied to two multi-view crash test videos captured by high-speed cameras.

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Language(s): eng - English
 Dates: 2009-03-262008
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 428086
DOI: 10.1007/978-3-540-69321-5_10
URI: http://www.mpi-inf.mpg.de/~jgall/download/jgall_crash_dagm08.pdf
Other: Local-ID: C125756E0038A185-056686D45C3BF4B4C1257554004F1C84-Gall2008b
 Degree: -

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Title: Untitled Event
Place of Event: Munich, Germany
Start-/End Date: 2008-06-10 - 2008-06-13

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Title: Pattern Recognition : 30th DAGM Symposium
Source Genre: Proceedings
 Creator(s):
Rigoll, Gerhard, Editor
Affiliations:
-
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 92 - 101 Identifier: ISBN: 978-3-540-69320-8

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 5096 Sequence Number: - Start / End Page: - Identifier: -