Multisensor-Fusion for 3D Full-Body Human Motion Capture

DATA available at http://www.tnt.uni-hannover.de/project/MPI08_Database/! In this work, we present an approach to fuse video with orientation data obtained from extended inertial sensors to improve and stabilize full-body human motion capture. Even though video data is a strong cue for motion analy- sis, tracking artifacts occur frequently due to ambiguities in the images, rapid motions, occlusions or noise. As a complementary data source, inertial sensors allow for drift- free estimation of limb orientations even under fast motions. However, accurate position information cannot be obtained in continuous operation. Therefore, we propose a hybrid tracker that combines video with a small number of inertial units to compensate for the drawbacks of each sensor type: on the one hand, we obtain drift-free and accurate position information from video data and, on the other hand, we ob- tain accurate limb orientations and good performance un- der fast motions from inertial ...

• Type: Conference
• Year: 2010
• Where: CVPR
• Authors: Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn
• Keywords: Character Animation, CVPR 2010, Human Body Tracking, Motion Capture, Pose Estimation, Sensor Fusion