Abstract
The analysis-by-synthesis concept is applied in markerless human gait analysis. Human locomotion is approximated by means of adaptive tracking with a 3D model that moves in exactly the same manner as the subject in front of the cameras. This paper focuses on two particular problems: (1) the inverse mapping of pixels from the synthetic image back to the surface of the 3D model, and (2) the acquisition of initial values for automatic initialization of the 3D model for subsequent reliable tracking. Some interesting initialization constraints arise when the analysis-by-synthesis concept is applied in medical human gait analysis. The moving subject is segmented with an improved dual difference technique, which uses the gradient norms of real camera images. The most important assumption is that human gait is almost completely periodic. This allows a much more robust approach whereby the keyframe animation technique serves to synthesize artificial motion patterns using approximately correct joint angles.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Moeslund, T.B., Granum, E.: A Survey of Computer Vision-Based Human Motion Capture. In: Computer Vision and Image Understanding: CVIU (2001)
Lander, J.: Over My Dead, Polygonal Body, Game Developer Magazine, Source code Skeletal Deformation in OpenGL (October 1999), http://www.darwin3d.com/gdm1999.htm
Winter, D.A.: Biomechanics and motor control of human movement. Wiley- Interscience, USA (1990)
Wachter, S.: Verfolgung von Personen in monokularen Bildfolgen, Vice Versa (1997)
Koch, R.: Dynamic 3D Scene Analysis through Synthesis Feedback Control. IEEE Trans. Patt. Anal. Mach. Intell., analysis and synthesis 15(6), 556–568 (1993)
Foley, D.J., van Dam, A., Feiner, S.K., Hughes, J.F.: Computer Graphics: Principles and Practice. Addison-Wesley, Reading (1997)
Stevens, M.R., Beveridge, J.R.: Integrating Graphics and Vision for Object Recognition. Kluver Academic Publishers, Boston (2001)
Black, M.J.: The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields. Computer Vision and Image Understanding 63(1), 75–104 (1996)
Mecke, R.: Grauwertbasierte Bewegungsschatzung in monokularen Bildsequenzen unter besonderer Berucksichtigung bildspezifischer Storungen. Shaker Verlag, Aachen (1999)
Thayananthan, A., Stenger, B., Torr, P.H.S., Cipolla, R.: Shape Context and Chamfer Matching in Cluttered Scenes. In: Proc. Conf. Computer Vision and Pattern Recognition, Madison, USA (June 2003)
Shreiner, D.: OpenGL(R) Reference Manual, see first http://www.opengl.org/
VITRONIC Dr.-Ing. Stein Bildverarbeitungssysteme, http://www.vitus.de/
Kameda, Y., Minoh, M.: A Human Motion Estimation Method using 3-successive video frames. In: Proceedings of International Conference on Virtual Systems and Multimedia 1996, pp. 135–140 (1996)
Luhmann, T.: Nahbereichsphotogrammetrie: Grundlagen, Methoden und Anwendungen. Wichmann Verlag (2000)
Collins, R. T., Gross, R., Shi, J.: Silhouette-based Human Identification from Body Shape and Gait. In: Conference on Face and Gesture (2002)
Frigo, M., Johnson, S.G.: FFTW manual online, http://www.fftw.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Calow, R., Michaelis, B., Al-Hamadi, A. (2003). Solutions for Model-Based Analysis of Human Gait. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_69
Download citation
DOI: https://doi.org/10.1007/978-3-540-45243-0_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40861-1
Online ISBN: 978-3-540-45243-0
eBook Packages: Springer Book Archive