Abstract
In this paper we show how the shape and dynamics of complex actions can be encoded using the intrinsic curvature and torsion signatures of their component actions. We then show how such invariant signatures can be integrated into a Dynamical Bayesian Network which compiles efficient recurrent rules for predicting and recognizing complex actions. An application in skill analysis is used to illustrate our approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Pentland A. Bobick A. and Poggio T. Vsam at the media laboratory and cbcl: Learning and understanding action in video imagery. MIT Media Lab. Report, 1998.
R. Boulic. Human motion capture driven by orientation measurements. Presence: Teleoperations and virtual Environments, 8(2):187–203, 1999.
S. Bryson. Measurement and calibration of static distortion of position data from 3d trackers. Technical report, NASA Ames Research Center, 1992.
M. Do Carmo. Differential Geometry of Curves and Surfaces. Prentice Hall, New Jersey, 1976.
Z. Ghahramani and M. Jordon. Factorial hidden markov models. Machine Learning, 29:245–275, 1997.
D. Green and J. Swets. Signal Detection Theory and Psychophysics. Wiley, New York, 1966.
F. Mokhtarian. A theory of multiscale, torsion-based shape representation for space curves. Computer Vision and Image Understanding, 68(1):1–17, 1997.
W. Press, S. Teukolsky, W. Vetterling, and B. Flannery, editors. Numerical Recipes in C. Cambridge University Press, Cambridge, UK, 1996.
F. Raab, E. Blood, T. Steiner, and H. Jones. Magnetic position and orientation tracking system. IEEE Transactions on Aerospace and Electronic Systems, (5):709-17, 1979.
L. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-86, 1989.
A. Wilson and A. Bobick. Hidden markov models for modeling and recognizing gesture under variation. International Journal of Pattern Recognition and Artificial Intelligence, 2001.
V. Zatsiorsky. Kinematics of Human Motion. Human Kinetics, Windsor, Canada, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Caelli, T., McCabe, A., Binsted, G. (2001). On Learning the Shape of Complex Actions. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form 2001. IWVF 2001. Lecture Notes in Computer Science, vol 2059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45129-3_3
Download citation
DOI: https://doi.org/10.1007/3-540-45129-3_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42120-7
Online ISBN: 978-3-540-45129-7
eBook Packages: Springer Book Archive