ML Anthology

Real-Time Marker-Free Motion Capture from Multiple Cameras

Brice Michoud, Erwan Guillou, Héctor M. Briceño, Saïda Bouakaz
ICCV 2007 pp. 1-7
doi:10.1109/ICCV.2007.4408991 /iccv/2007/michoud2007iccv-real/

Abstract

We present a fully-automated method for real-time and marker-free 3D human motion capture. The system computes the 3D shape of the person filmed from a synchronized camera set. We obtain a robust and real-time system by using both a fast 3D shape analysis and a skin segmentation algorithm for human tracking. A skeleton-based approach facilitates the shape analysis. We are able to track fast and complex human motion in very difficult cases, like self-occlusion. Results on long video sequences with rapid and complex movements, demonstrate our approach robustness.

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Text

Michoud et al. "Real-Time Marker-Free Motion Capture from Multiple Cameras." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408991

Markdown

[Michoud et al. "Real-Time Marker-Free Motion Capture from Multiple Cameras." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/michoud2007iccv-real/) doi:10.1109/ICCV.2007.4408991

BibTeX

@inproceedings{michoud2007iccv-real,
  title     = {{Real-Time Marker-Free Motion Capture from Multiple Cameras}},
  author    = {Michoud, Brice and Guillou, Erwan and Briceño, Héctor M. and Bouakaz, Saïda},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2007},
  pages     = {1-7},
  doi       = {10.1109/ICCV.2007.4408991},
  url       = {https://mlanthology.org/iccv/2007/michoud2007iccv-real/}
}