ML Anthology

Spatio-Temporal Motion Tracking with Unsynchronized Cameras

Ahmed Elhayek, Carsten Stoll, Nils Hasler, Kwang In Kim, Hans-Peter Seidel, Christian Theobalt
CVPR 2012 pp. 1870-1877
doi:10.1109/CVPR.2012.6247886 /cvpr/2012/elhayek2012cvpr-spatio/

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. ?? 2012 IEEE.

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Cite

Text

Elhayek et al. "Spatio-Temporal Motion Tracking with Unsynchronized Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012. doi:10.1109/CVPR.2012.6247886

Markdown

[Elhayek et al. "Spatio-Temporal Motion Tracking with Unsynchronized Cameras." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2012.](https://mlanthology.org/cvpr/2012/elhayek2012cvpr-spatio/) doi:10.1109/CVPR.2012.6247886

BibTeX

@inproceedings{elhayek2012cvpr-spatio,
  title     = {{Spatio-Temporal Motion Tracking with Unsynchronized Cameras}},
  author    = {Elhayek, Ahmed and Stoll, Carsten and Hasler, Nils and Kim, Kwang In and Seidel, Hans-Peter and Theobalt, Christian},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2012},
  pages     = {1870-1877},
  doi       = {10.1109/CVPR.2012.6247886},
  url       = {https://mlanthology.org/cvpr/2012/elhayek2012cvpr-spatio/}
}