ML Anthology

Articulated Body Posture Estimation from Multi-Camera Voxel Data

Ivana Mikic, Mohan M. Trivedi, Edward Hunter, Pamela C. Cosman
CVPR 2001 pp. I:455-462
doi:10.1109/CVPR.2001.990510 /cvpr/2001/mikic2001cvpr-articulated/

Abstract

We present a framework for articulated body model acquisition and tracking from voxel data. A 3D voxel reconstruction of the person's body is computed from silhouettes extracted from four cameras. The model acquisition process is fully automated. In the first frame, body parts are located sequentially. The head is located first, since its shape and size are unique and stable. Other parts are found by sequential template growing and fitting. This initial estimate of body part locations, sizes and orientations is then used as a measurement for the extended Kalman filter which ensures a valid articulated body model. The same filter, with a slightly modified state and state transition matrix, is then used for tracking. The performance of the system has been evaluated on several video sequences with promising results.

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Cite

Text

Mikic et al. "Articulated Body Posture Estimation from Multi-Camera Voxel Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990510

Markdown

[Mikic et al. "Articulated Body Posture Estimation from Multi-Camera Voxel Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/mikic2001cvpr-articulated/) doi:10.1109/CVPR.2001.990510

BibTeX

@inproceedings{mikic2001cvpr-articulated,
  title     = {{Articulated Body Posture Estimation from Multi-Camera Voxel Data}},
  author    = {Mikic, Ivana and Trivedi, Mohan M. and Hunter, Edward and Cosman, Pamela C.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {I:455-462},
  doi       = {10.1109/CVPR.2001.990510},
  url       = {https://mlanthology.org/cvpr/2001/mikic2001cvpr-articulated/}
}