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Markerless kinematic model and motion capture from volume sequences

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3 Author(s)
Chi-Wei Chu ; Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA ; Jenkins, O.C. ; Mataric, M.J.

An approach for model-free markerless motion capture of articulated kinematic structures is presented. This approach is centered our method for generating underlying nonlinear axes (or a skeleton curve) from the volume of an arbitrary rigid-body model. We describe the use of skeleton curves for deriving a kinematic model and motion (in the form of joint angles over time) from a captured volume sequence. Our motion capture method uses a skeleton curve, found in each frame of a volume sequence, to automatically determine kinematic postures. These postures are then aligned to determine a common kinematic model for the volume sequence. The derived kinematic model is then reapplied to each frame in the volume sequence to find the motion suited to this model. We demonstrate our method for several types of motion from synthetically generated volume sequences with arbitrary kinematic topology and human volume sequences captured from a set of multiple calibrated cameras.

Published in:

Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on  (Volume:2 )

Date of Conference:

18-20 June 2003