Models and Algorithms for Human Skeleton Estimation from 3D Marker Trajectories

• Autorzy: Janik Ł. , Polański A. , Wojciechowski K.
• Języki publikacji: EN

Abstrakty

EN

The optical motion capture (MOCAP) technique is very useful in numerous applications in technology, medicine and science. The central problem in the MOCAP technology is skeleton estimation. The quality of skeleton estimation algorithms has the most signifcant infuence on the whole process of MOCAP data processing and analysis. In this paper we describe an original algorithm for skeleton estimation which refines several methodologies available in the literature. We have performed extensive testing and accuracy comparisons of our algorithm compared to some algorithms presented in the literature. We can report that our algorithm enables estimation of a high quality skeleton, with better accuracy than previous methods.

Słowa kluczowe

EN

skeleton estimation; motion capture

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2011
• Tom: Vol. 20, No. 3
• Strony: 333--354
• Opis fizyczny: Bibliogr. 29 poz., rys., tab.

Twórcy

autor

Janik Ł.

• Silesian University of Technology, Institute of Computer Science, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Polański A.

• Silesian University of Technology, Institute of Computer Science, ul. Akademicka 16, 44-100 Gliwice, Poland
• Polish-Japanese Institute of Information Technology, Aleja Legionów 2, 41-902 Bytom, Poland

autor

Wojciechowski K.

• Silesian University of Technology, Institute of Computer Science, ul. Akademicka 16, 44-100 Gliwice, Poland
• Polish-Japanese Institute of Information Technology, Aleja Legionów 2, 41-902 Bytom, Poland

Bibliografia

• [1] Hamilton W. R., Wilkins D. R., Quaternions O., Sir B., Hamilton W. R.: ON QUATERNIONS By. Read, Vol. 3, 1847.
• [2] WAHBA G.: Problem 651: A Least Squares Estimate of Spacecraft Attitude, SIAM Review, Vol. 7, p. 409, 1965.
• [3] G. Wahba, J. L. Farrell, J. C. Stuelpnagel, R. H. Wessner, J. R. Velman and J. E. B.: A Least Squares Estimate of Satellite Attitude. SIAM Review, Vol. 8, p. 384386, 1966.
• [4] Werness S. A., Anderson D. J.: User manual for IDENT, a parametric and nonparametric linear systems identification package. Computer programs in biomedicine, Vol. 18, p. 99108, 1984.
• [5] Horn B. K. P.: Closed-form solution of absolute orientation using unit quaternions. Journal of the Optical Society of America, Vol. 4, p. 629642, 1987.
• [6] Kadaba M. P., Ramakrishnan H. K., Wootten M. E.: Measurement of lower extremity kinematics during level walking. Journal of Orthopaedic Research : official publication of the Orthopaedic Research Society, May , Vol. 8, p. 38392, 1990.
• [7] Cappozzo a, Catani F., Croce U. D., Leardini a.: Position and orientation in space of bones during movement: anatomical frame definition and determination. Clinical biomechanics (Bristol, Avon), Vol. 10, p. 171178, 1995.
• [8] Delaney B.: On the trail of the shadow woman: the mystery of motion capture. IEEE Computer Graphics and Applications, Vol. 18, p. 1419, 1998.
• [9] Silaghi M., Plnkers R., Boulic R., Fua P.: Local and Global Skeleton Fitting Techniques for Optical Motion Capture Skeleton Fitting, 1998.
• [10] Piazza S. J., Okita N., Cavanagh P. R.: Accuracy of the functional method of hip joint center location: effects of limited motion and varied implementation. Journal of biomechanics, Vol. 34, p. 967973, 2001.
• [11] Gamage S. S. H. U., Lasenby J.: New least squares solutions for estimating the average centre of rotation and the axis of rotation. Journal of biomechanics, Vol. 35, p. 8793, 2002.
• [12] Zordan V. B., Horst N. C. V. D.: Mapping optical motion capture data to skeletal motion using a physical model. Work, 2003.
• [13] Chiari L., Della Croce U., Leardini A., Cappozzo A.: Human movement analysis using stereophotogrammetry. Part 2: instrumental errors. Gait &: posture, Vol. 21, p. 197211, 2005.
• [14] Leardini A., Chiari L., Della Croce U., Cappozzo A.: Human movement analysis using stereophotogrammetry. Part 3. Soft tissue artifact assessment and compensation. Gait & posture, Vol. 21, p. 212225, 2005.
• [15] A. G. Kirk, OBrien J. F., Forsyth D. A.: Skeletal Parameter Estimation from Optical Motion Capture Data. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR05), Vol. 2, p. 782788, 2005.
• [16] Schwartz M. H., Rozumalski A.: A new method for estimating joint parameters from motion data. Journal of biomechanics, Vol. 38, p. 107116, 2005.
• [17] Cameron J., Lasenby J.: A real-time sequential algorithm for human joint localization. ACM SIGGRAPH 2005 Posters on - SIGGRAPH 05, p. 107, 2005.
• [18] Moeslund T. B., Hilton A., Krüger V.: A survey of advances in vision-based human motion capture and analysis. Computer Vision and Image Understanding, Vol. 104, p. 90126. 2006.
• [19] Aguiar E. D., Theobalt C., Seidel H.: Automatic learning of articulated skeletons from 3D marker trajectories. Advances in Visual Computing, p. 485494, 2006.
• [20] Aristidou A., Cameron J., Lasenby J.: Real-Time Estimation of Missing Markers in Human Motion Capture. 2008 2nd International Conference on Bioinformatics and Biomedical Engineering, May, p. 13431346, 2008.
• [21] Peters A., Galna B., Sangeux M., Morris M., Baker R.: Quantification of soft tissue artifact in lower limb human motion analysis: a systematic review., Gait & posture, vol. 31, no. 1. 18, 2010.
• [22] http://c3d.org/. [Online]. Available: http://c3d.org/. [Accessed: 20-Nov-2011].
• [23] Barfoot T., Forbes J. R., Furgale P. T.: Pose estimation using linearized rotations and quaternion algebra. Acta Astronautica, Vol. 68, p. 101112, 2011.
• [24] Walker L.: Letter to the editor. Nursing outlook, Sep., Vol. 60, p. 240, 2012.
• [25] Blade Webpage. [Online], Available: http://www.vicon.com/products/blade.html. [Accessed: 08- Aug-2012].
• [26] Nexus Webpage. [Online]. Available: http://www.vicon.com/products/nexus.html. [Accessed: 08- Aug-2012].
• [27] BTS Smart Webpage. [Online]. Available: http://www.btsbioengineering.com/BTSBioengineering/Kinematics/BTSSMARTD/BTS_SMARTD.html. [Accessed: 08-Aug-2012].
• [28] Brien J. F. O., Hodgins J. K.: Automatic Joint Parameter Estimation from Magnetic Motion Capture Data. Interface, p. 1-8, 2012.
• [29] Blade 2 and Axiom Character Setup and Real Time, vol. 44, no. 0. 139, 2012.