Real-time Human Motion Capture with Simple Marker Sets and Monocular Video

Liang Zhang, Guido Brunnett, Stephan Gdv
2011 Journal of Virtual Reality and Broadcasting   unpublished
In this paper we present a hybrid method to track human motions in real-time. With simplified marker sets and monocular video input, the strength of both marker-based and marker-free motion capturing are utilized: A cumbersome marker calibration is avoided while the robustness of the marker-free tracking is enhanced by referencing the tracked marker positions. An improved inverse kinematics solver is employed for real-time pose estimation. A computer-vision-based approach is applied to refine
more » ... e pose estimation and reduce the ambiguity of the inverse kinematics solutions. We use this hybrid method to capture typical table tennis upper body movements in a real-time virtual reality application.