Real-time Human Motion Capture with Simple Marker Sets and Monocular Video Zhang Liang Brunnett Guido Rusdorf Stephan 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-visionbased approach is applied to refine the 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. Computervision-based motion capture Human motion capture Inverse kinematics 004 periodical academic journal JVRB - Journal of Virtual Reality and Broadcasting 8(2011) 1 2011 1860-2037 urn:nbn:de:0009-6-28196 10.20385/1860-2037/8.2011.1 http://nbn-resolving.de/urn:nbn:de:0009-6-28196 zhang2011