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