Datengestützte Stabilisierung markerfreier videobasierter Motion-Capture-Systeme durch Integration von statistischen Lernmethoden in Retrieval- und Klassifikationstechniken für 3D-Bewegungsdaten

Applicants Professor Dr. Daniel Cremers; Professor Dr. Meinard Müller; Professor Dr.-Ing. Bodo Rosenhahn

Subject Area Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing

Term from 2007 to 2014

Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 37271895

Final Report Year 2012

Final Report Abstract

No abstract available

Analyzing and evaluating markerless motion tracking using inertial sensors. In 3rd Workshop on Human Motion. In Conjunction with ECCV 2010, September 2010
Andreas Baak, Thomas Helten, Meinard Müller, Gerard Pons-Moll, Bodo Rosenhahn, and Hans-Peter Seidel
Multisensor-fusion for 3d full-body human motion capture. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 663–670, San Francisco, CA, USA, June 2010
Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera. In IEEE International Conference on Computer Vision (ICCV), 2011
Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, Christian Theobalt
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains In IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 33, pages 1161–1174, 2011
Daniel Cremers, Kalin Kolev
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling. In IEEE International Conference on Computer Vision (ICCV), 2011
Gerard Pons Moll, Andreas Baak, Jürgen Gall, Laura Leal-Taixé, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn
Real-time Human Motion Tracking using Multiple Depth Cameras. In Intelligent Robots and Systems (IROS)., October 2012
Licong Zhang, Juergen Sturm, Daniel Cremers, Dongheui Lee