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Spatio-temporal motion tracking with unsynchronized cameras

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published
  • A. Elhayek
  • C. Stoll
  • N. Hasler
  • K. I. Kim
  • H.-P. Seidel
  • C. Theobalt
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Publication date2012
Host publicationProceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
PublisherIEEE
Pages1870-1877
Number of pages8
ISBN (Electronic)9781467312271
ISBN (Print)9781467312264
Original languageEnglish

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.