Gesture Recognition Using Character Recognition Techniques on Two-Dimensional Eigenspace

Abstract

This paper describes a novel method for gesture recognition using character recognition techniques on two-dimensional eigenspace. An image-based approach can capture human body poses in 3D motion from multiple image sequences. The sequence of poses can be reduced into a trajectory on the two-dimensional eigenspace with preserving the main features in gesture, so that the gesture recognition equals the character recognition. Experiments for the gesture recognition using some character recognition techniques show our method is useful.

Cite

Text

Ohno and Yamamoto. "Gesture Recognition Using Character Recognition Techniques on Two-Dimensional Eigenspace." IEEE/CVF International Conference on Computer Vision, 1999. doi:10.1109/ICCV.1999.791211

Markdown

[Ohno and Yamamoto. "Gesture Recognition Using Character Recognition Techniques on Two-Dimensional Eigenspace." IEEE/CVF International Conference on Computer Vision, 1999.](https://mlanthology.org/iccv/1999/ohno1999iccv-gesture/) doi:10.1109/ICCV.1999.791211

BibTeX

@inproceedings{ohno1999iccv-gesture,
  title     = {{Gesture Recognition Using Character Recognition Techniques on Two-Dimensional Eigenspace}},
  author    = {Ohno, Hiroshi and Yamamoto, Masanobu},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1999},
  pages     = {151-156},
  doi       = {10.1109/ICCV.1999.791211},
  url       = {https://mlanthology.org/iccv/1999/ohno1999iccv-gesture/}
}