A MULTI-VIEW STEREO SYSTEM FOR ARTICULATED MOTION ANALYSIS

Francesco Setti, Mariolino De Cecco, Alessio Del Bue

2010

Abstract

In this paper we present a system for the motion segmentation of a human arm and the determination of its internal joint characteristics (position and degrees of freedom). In particular, we are interested in the segmentation of a set of 3D points lying over a pair of non-rigid bodies (arm and forearm) connected through a rotational joint (elbow). The complexity of the problem resides in the non-rigidity of the motion given by the human articulations and the soft tissues of the body (e.g. skin and muscles). In this work we address the aspects of 3D reconstruction by multi-stereo vision, frame-by-frame matching of the feature points, motion segmentation and the joint characteristics determination.

References

  1. Boujou (2009). Boujou. http://www.vicon.com/boujou/.
  2. Corazza, S., Mü ndermann, L., and Andriacchi, T. (2007). A framework for the functional identification of joint centers using markerless motion capture, validation for the hip joint. Journal of Biomechanics, 40(15):3510-3515.
  3. De Cecco, M., Pertile, M., Baglivo, L., Lunardelli, M., Setti, F., and Tavernini, M. (2009). A unified framework for uncertainty, compatibility analysis and data fusion for multi-stereo 3d shape estimation. IEEE Transactions on Instrumentation Measurements. Accepted for publication.
  4. Fayad, J., Del Bue, A., Agapito, L., and Aguiar, P. (2009). Human body modelling using quadratic deformations. In 7th EUROMECH Solid Mechanics Conference, Lisbon, Portugal.
  5. Fayad, J. K. and P. M. Q. Aguiar, A. D. B. (2009). A weighted factorization approach for articulated motion modelling. In Multibody Dynamics 2009, Warsaw, Poland, volume 2, pages 1110-1115.
  6. Fischler, M. A. and Bolles, R. C. (1987). Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. In Fischler, M. A. and Firschein, O., editors, Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, pages 726-740. Los Altos, CA.
  7. Ioannidis, D., Tzovaras, D., Damousis, I. G., Argyropoulos, S., and Moustakas, K. (2007). Gait recognition using compact feature extraction transforms and depth information. IEEE Transactions on Information Forensics and Security, 2:623-630.
  8. Kanatani, K. (1996). Statistical optimization for geometric computation: theory and practice. Elsevier Science Inc. New York, NY, USA.
  9. Scholz, V. and Magnor, M. (2006). Multi-view video capture of garment motion. Proceedings of IEEE Workshop on Content Generation and Coding for 3DTelevision, pages 1-4.
  10. Tresadern, P. and Reid, I. (2005). Articulated structure from motion by factorization. In Proc. IEEE Conference on Computer Vision and Pattern Recognition, San Diego, California, volume 2, pages 1110-1115.
  11. Tron, R. and Vidal, R. (2007). A benchmark for the comparison of 3-d motion segmentation algorithms. In IEEE conference on computer vision and pattern recognition, volume 4.
  12. Vidal, R., Ma, Y., and Sastry, S. (2005). Generalized principal component analysis (gpca). IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(12):1945-1959.
  13. White, R., Crane, K., and Forsyth, D. (2007). Capturing and animating occluded cloth. ACM Transaction on Graphics.
  14. Yan, J. and Pollefeys, M. (2008). A factorization-based approach for articulated non-rigid shape, motion and kinematic chain recovery from video. IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(5).
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Paper Citation


in Harvard Style

Setti F., De Cecco M. and Del Bue A. (2010). A MULTI-VIEW STEREO SYSTEM FOR ARTICULATED MOTION ANALYSIS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 367-372. DOI: 10.5220/0002847303670372


in Bibtex Style

@conference{visapp10,
author={Francesco Setti and Mariolino De Cecco and Alessio Del Bue},
title={A MULTI-VIEW STEREO SYSTEM FOR ARTICULATED MOTION ANALYSIS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={367-372},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002847303670372},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - A MULTI-VIEW STEREO SYSTEM FOR ARTICULATED MOTION ANALYSIS
SN - 978-989-674-028-3
AU - Setti F.
AU - De Cecco M.
AU - Del Bue A.
PY - 2010
SP - 367
EP - 372
DO - 10.5220/0002847303670372