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  Learning for Multi-view 3D Tracking in the Context of Particle Filters

Gall, J., Rosenhahn, B., Brox, T., & Seidel, H.-P. (2006). Learning for Multi-view 3D Tracking in the Context of Particle Filters. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, P. Remagnino, A. Nefian, et al. (Eds.), Advances in Visual Computing (pp. 59-69). Berlin, Germany: Springer.

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https://rdcu.be/dHM2U (Publisher version)
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 Creators:
Gall, Jürgen1, Author           
Rosenhahn, Bodo1, Author           
Brox, Thomas2, Author
Seidel, Hans-Peter1, Author                 
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              
2External Organizations, ou_persistent22              

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Free keywords: -
 Abstract: In this paper we present an approach to use prior knowledge in the particle
filter framework for 3D tracking, i.e. estimating the state parameters such as
joint angles of a 3D object. The probability of the object’s states, including
correlations between the state parameters, is learned a priori from training
samples. We introduce a framework that integrates this knowledge into the
family of particle filters and particularly into the annealed particle filter
scheme. Furthermore, we show that the annealed particle filter also works with
a variational model for level set based image segmentation that does not rely
on background subtraction and, hence, does not depend on a static background.
In our experiments, we use a four camera set-up for tracking the lower part of
a human body by a kinematic model with 18 degrees of freedom. We demonstrate
the increased accuracy due to the prior knowledge and the robustness of our
approach to image distortions. Finally, we compare the results of our
multi-view tracking system quantitatively to the outcome of an industrial
marker based tracking system.

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Language(s): eng - English
 Dates: 2007-02-252006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314442
Other: Local-ID: C125675300671F7B-166E4030CB024E42C125722D0050F6E7-GallISVC2005
BibTex Citekey: Gall-et-al_ISVC06
DOI: 10.1007/11919629_7
 Degree: -

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Title: Second International Symposium on Advances in Visual Computing
Place of Event: Lake Tahoe, NV, USA
Start-/End Date: 2006-11-06 - 2006-11-08

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Source 1

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Title: Advances in Visual Computing
  Subtitle : Second International Symposium, ISVC 2006, Lake Tahoe, NV, USA, November 6-8, 2006, Proceedings, Part II
  Abbreviation : ISVC 2006
Source Genre: Proceedings
 Creator(s):
Bebis, George1, Editor
Boyle, Richard1, Editor
Parvin, Bahram1, Editor
Koracin, Darko1, Editor
Remagnino, Paolo1, Editor
Nefian, Ara1, Editor
Meenakshisundaram, Gopi1, Editor
Pascucci, Valerio1, Editor
Zara, Jiri1, Editor
Molineros, Jose1, Editor
Theisel, Holger1, Editor
Malzbender, Tom1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 59 - 69 Identifier: ISBN: 978-3-540-48626-8

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 4292 Sequence Number: - Start / End Page: - Identifier: -