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ICCV
2007
IEEE
13 years 11 months ago
Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field
Abstract. We present a completely autonomous algorithm for the real-time creation of a moving subject’s kinematic model from optical motion capture data and with no a priori info...
Stjepan Rajko, Gang Qian
ICRA
2003
IEEE
147views Robotics» more  ICRA 2003»
13 years 10 months ago
Controlling a marionette with human motion capture data
In this paper, we present a method for controlling a motorized, string-drivenmarionette using motion capture data from human actors. The motion data must be adapted for the marion...
Katsu Yamane, Jessica K. Hodgins, H. Benjamin Brow...
ICCV
2011
IEEE
12 years 8 months ago
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Human motion capturing (HMC) from multiview image sequences constitutes an extremely difficult problem due to depth and orientation ambiguities and the high dimensionality of the s...
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laur...
3DPH
2009
128views Healthcare» more  3DPH 2009»
13 years 6 months ago
Predicting Missing Markers in Real-Time Optical Motion Capture
Abstract. A common problem in optical motion capture of human-body movement is the so-called missing marker problem. The occlusion of markers can lead to significant problems in tr...
Tommaso Piazza, Johan Lundström, Andreas Kunz...