ML Anthology

Recognition of Human Gaits

Alessandro Bissacco, Alessandro Chiuso, Yi Ma, Stefano Soatto
CVPR 2001 pp. II:52-57
doi:10.1109/CVPR.2001.990924 /cvpr/2001/bissacco2001cvpr-recognition/

Abstract

We pose the problem of recognizing different types of human gait in the space of dynamical systems where each gait is represented Established techniques are employed to track a kinematic model of a human body in motion, and the trajectories of the parameters are used to learn a representation of a dynamical system, which defines a gait. Various types of distance between models are then computed These computations are non trivial due to the fact that, even for the case of linear systems, the space of canonical realizations is not linear.

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Text

Bissacco et al. "Recognition of Human Gaits." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990924

Markdown

[Bissacco et al. "Recognition of Human Gaits." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/bissacco2001cvpr-recognition/) doi:10.1109/CVPR.2001.990924

BibTeX

@inproceedings{bissacco2001cvpr-recognition,
  title     = {{Recognition of Human Gaits}},
  author    = {Bissacco, Alessandro and Chiuso, Alessandro and Ma, Yi and Soatto, Stefano},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {II:52-57},
  doi       = {10.1109/CVPR.2001.990924},
  url       = {https://mlanthology.org/cvpr/2001/bissacco2001cvpr-recognition/}
}