Multi-scale gesture recognition from time-varying contours

  title={Multi-scale gesture recognition from time-varying contours},
  author={Hong Li and Michael A. Greenspan},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  pages={236-243 Vol. 1}
A novel method is introduced to recognize and estimate the scale of time-varying human gestures. It exploits the changes in contours along spatiotemporal directions. Each contour is first parameterized as a 2D function of radius vs. cumulative contour length, and a 3D surface is composed from a sequence of such functions. In a two-phase recognition process, dynamic time warping is employed to rule out significantly different gesture models, and then mutual information (MI) is applied for… CONTINUE READING
Highly Cited
This paper has 67 citations. REVIEW CITATIONS
43 Citations
21 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 43 extracted citations

68 Citations

Citations per Year
Semantic Scholar estimates that this publication has 68 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 21 references

Kernel Smoothing

  • M. P. Wand, M. C. Jones
  • 1995
Highly Influential
3 Excerpts

A method for human action recognition

  • O. Masoud, N.Papanikolopoulos
  • Image and Vision Computing,
  • 2003
Highly Influential
5 Excerpts

Similar Papers

Loading similar papers…