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  Spatio-temporal Motion Tracking with Unsynchronized Cameras

Elhayek, A., Stoll, C., Hasler, N., Kim, K. I., Seidel, H.-P., & Theobalt, C. (2012). Spatio-temporal Motion Tracking with Unsynchronized Cameras. In 2012 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1870-1877). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2012.6247886.

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 Creators:
Elhayek, Ahmed1, Author           
Stoll, Carsten1, Author           
Hasler, Nils1, Author           
Kim, Kwang In1, Author           
Seidel, Hans-Peter1, Author           
Theobalt, Christian1, Author           
Affiliations:
1Computer Graphics, MPI for Informatics, Max Planck Society, ou_40047              

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 Abstract: We present a new spatio-temporal method for markerless motion capture. We reconstruct the pose and motion of a character from a multi-view video sequence without requiring the cameras to be synchronized and without aligning captured frames in time. By formulating the model-to-image similarity measure as a temporally continuous functional, we are also able to reconstruct motion in much higher temporal detail than was possible with previous synchronized approaches. By purposefully running cameras unsynchronized we can capture even very fast motion at speeds that off-the-shelf but high quality cameras provide.

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Language(s): eng - English
 Dates: 20122012
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: ElHayek2012a
Other: Local-ID: BAE13C070CC977C1C1257AD7003977F5-ElHayek2012a
DOI: 10.1109/CVPR.2012.6247886
 Degree: -

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Title: 2012 IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Providence, RI
Start-/End Date: 2012-06-16 - 2012-06-21

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Title: 2012 IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2012
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1870 - 1877 Identifier: ISBN: 978-1-4673-1226-4
ISSN: 1063-6919