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Home Research Marker-less Motion Capture

Marker-less Motion Capture

In this project, we develop statistical and energy minimization methods to tracking articulated 3D objects from multiple camera views. Such techniques are of central importance in particular for markerless motion capture. The human motion sequence extracted from multiple videos can subsequently be used to animate virtual characters as commonly done in action movies.

Four Input Sequences Tracked 3D Model Superimposed

Related publications

Book Chapters
2007
Contours, optic flow, and prior knowledge: cues for capturing 3D human motion in videos (T. Brox, B. Rosenhahn, D. Cremers), Chapter in Human Motion - Understanding, Modeling, Capture, and Animation, Springer, 2007. [bib] [pdf]
Journal Articles
2009
Combined region- and motion-based 3D tracking of rigid and articulated objects (T. Brox, B. Rosenhahn, J. Gall, D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32, 2009. [bib] [pdf]
2007
Three-dimensional shape knowledge for joint image segmentation and pose tracking (B. Rosenhahn, T. Brox, J. Weickert), In International Journal of Computer Vision, volume 73, 2007. (available online) [bib]
Conference and Workshop Papers
2015
Model-Based Tracking at 300Hz using Raw Time-of-Flight Observations (J. Stühmer, S. Nowozin, A. Fitzgibbon, R. Szeliski, T. Perry, S. Acharya, D. Cremers, J. Shotton), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video]) [bib] [pdf]
2008
Modeling and Tracking Line-Constrained Mechanical Systems (B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel), In 2nd Workshop on Robot Vision (G. Sommer, R. Klette, eds.), volume 4931, 2008. [bib] [pdf]
Markerless Motion Capture of Man-Machine Interaction (B. Rosenhahn, C. Schmaltz, T. Brox, J. Weickert, D. Cremers, H.-P. Seidel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008. [bib] [pdf]
2007
Region-based Pose Tracking (C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer), In Proc. 3rd Iberian Conference on Pattern Recognition and Image Analysis, Springer, 2007. [bib] [pdf]
Scaled motion dynamics for markerless motion capture (B. Rosenhahn, T. Brox, H.-P. Seidel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007. [bib] [pdf]
Online smoothing for markerless motion capture (B. Rosenhahn, T. Brox, D. Cremers, H.-P. Seidel), In Pattern Recognition (Proc. DAGM), Springer, 2007. [bib] [pdf]
Occlusion Modeling by Tracking Multiple Objects (C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke, G. Sommer), In Pattern Recognition (Proc. DAGM), Springer, 2007. [bib] [pdf]
Nonparametric density estimation with adaptive anisotropic kernels for human motion tracking (T. Brox, B. Rosenhahn, D. Cremers, H.-P. Seidel), In Proc. 2nd International Workshop on Human Motion (A. Elgammal, B. Rosenhahn, R. Klette, eds.), Springer, volume 4814, 2007. [bib] [pdf]
2006
High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints (T. Brox, B. Rosenhahn, D. Cremers, H.-P. Seidel), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3952, 2006. [bib] [pdf]
Nonparametric density estimation for human pose tracking (T. Brox, B. Rosenhahn, U. Kersting, D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006. [bib] [pdf]
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