Coupled grouping and matching for sign and gesture recognition

  title={Coupled grouping and matching for sign and gesture recognition},
  author={Ruiduo Yang and Sudeep Sarkar},
  journal={Computer Vision and Image Understanding},
Matching an image sequence to a model is a core problem in gesture or sign recognition. In this paper, we consider such a matching problem, without requiring a perfect segmentation of the scene. Instead of requiring that lowand mid-level processes produce near-perfect segmentation, we take into account that such processes can only produce uncertain information and use an intermediate grouping module to generate multiple candidates. From the set of low-level image primitives, such as constant… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS
13 Citations
36 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 13 extracted citations


Publications referenced by this paper.
Showing 1-10 of 36 references

Handling movement epenthesis and hand segmentation ambiguities in continuous sign language recognition using Please cite this article in press as: R

  • R. Yang, S. Sarkar, B. Loeding
  • Yang, S. Sarkar, Coupled grouping Understand.
  • 2009
1 Excerpt

Huimin Chen

  • Y. Bar-Shalom
  • Track-to-track association for tracks with…
  • 2007
1 Excerpt

Similar Papers

Loading similar papers…