HAND GESTURE RECOGNITION THROUGH ON-LINE SKELETONIZATION - Application of Continuous Skeleton to Real-time Shape Analysis

Alexey Kurakin, Leonid Mestetskiy

2011

Abstract

New method for palm shape analysis and hand gesture recognition with help of continuous skeletons is presented in the paper. Continuous skeleton makes possible to develop fast and simple methods for palm shape analysis and measure a lot of its features. In particular it is possible to develop efficient methods for segmentation and analysis of the object topological structure, measuring relative location of object parts and measuring width of the object in arbitrary place. Applying to palm shape analysis skeleton provides a way to determine number of visible fingers, estimate their thickness and location, and perform efficient palm shape comparison with the sample. Moreover proposed approach allows measuring all mentioned features regardless of palm orientation in the frame. And efficient algorithms for skeleton construction allow performing shape analysis with high speed in real-time applications.

References

  1. Aguiar, R., Pereira, J. M., and Braz, J. (2009). Gadevi - game development integrating tracking and visualization devices into virtools. In GRAPP 2009: Proc. of 4th Int. Conf. on Computer Graphics Theory and Applications, pages 313-321. INSTICC Press.
  2. Beristain, A. and Grana, M. (2010). A stable skeletonization for tabletop gesture recognition. In Computational Science and Its Applications ICCSA 2010, volume 6016 of Lecture Notes in Computer Science, pages 610-621. Springer Berlin / Heidelberg.
  3. Mestetskiy, L. (2010). Skeleton representation based on compound bezier curves. In VISAPP 2010: Proc. of 5th Int. Conf. on Computer Vision Theory and Applications, volume 1, pages 44-51. INSTICC Press.
  4. Mestetskiy, L. and Semenov, A. (2008). Binary image skeleton - continuous approach. In VISAPP 2008: Proc. of 3rd Int. Conf. on Computer Vision Theory and Applications, volume 1, pages 251-258. INSTICC Press.
  5. Mitra, S. and Acharya, T. (2007). Gesture recognition: A survey. IEEE Transactions on Systems, Man and Cybernetics - Part C, 37(3):311-324.
  6. Phung, S. L., Bouzerdoum, A., and Chai, D. (2005). Skin segmentation using color pixel classification: Analysis and comparison. IEEE Trans. Pattern Anal. Mach. Intell., 27(1):148-154.
  7. Schlattman, M. and Klein, R. (2007). Simultaneous 4 gestures 6 dof real-time two-hand tracking without any markers. In VRST 7807: Proceedings of the 2007 ACM symposium on Virtual reality software and technology, pages 39-42, New York, NY, USA. ACM.
  8. Siddiqi, K. and Pizer, S. (2008). Medial Representations: Mathematics, Algorithms and Applications. Springer Publishing Company, Incorporated, 1st edition.
  9. Vezhnevets, V., Sazonov, V., and Andreeva, A. (2003). A survey on pixel-based skin color detection techniques. In Proceedings of the GraphiCon 2003, pages 85-92.
  10. Wang, R. Y. and Popovic, J. (2009). Real-time handtracking with a color glove. ACM Transactions on Graphics, 28(3).
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Paper Citation


in Harvard Style

Kurakin A. and Mestetskiy L. (2011). HAND GESTURE RECOGNITION THROUGH ON-LINE SKELETONIZATION - Application of Continuous Skeleton to Real-time Shape Analysis . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 555-560. DOI: 10.5220/0003315505550560


in Bibtex Style

@conference{visapp11,
author={Alexey Kurakin and Leonid Mestetskiy},
title={HAND GESTURE RECOGNITION THROUGH ON-LINE SKELETONIZATION - Application of Continuous Skeleton to Real-time Shape Analysis},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={555-560},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003315505550560},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - HAND GESTURE RECOGNITION THROUGH ON-LINE SKELETONIZATION - Application of Continuous Skeleton to Real-time Shape Analysis
SN - 978-989-8425-47-8
AU - Kurakin A.
AU - Mestetskiy L.
PY - 2011
SP - 555
EP - 560
DO - 10.5220/0003315505550560