Markerless motion capture with unsynchronized moving cameras

2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009

Volumn , Issue , 2009, Pages 224-231

  Hasler, Nils ^a   Rosenhahn, Bodo ^a,b   Thormählen, Thorsten ^a   Wand, Michael ^a   Gall, Juergen ^a,c   Seidel, Hans Peter ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b LEIBNIZ UNIVERSITY HANNOVER   (Germany)

^c ETH ZURICH   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; MOTION CAPTURE;

ARTICULATED OBJECT; CAMERA SYNCHRONIZATIONS; JOINT CONFIGURATION; MARKERLESS MOTION CAPTURE; MOVING CAMERAS; OUTDOOR SCENES; STATIC BACKGROUND; STRUCTURE FROM MOTION;

VIDEO CAMERAS;

EID: 70450162951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2009.5206859     Document Type: Conference Paper

References (30)

1. A. Balan, L. Sigal, M. Black, and H. Haussecker. Shining a light on human pose: On shadows, shading and the estimation of pose and shape. In ICCV, 2007.
2. M. Bray, P. Kohli, and P. Torr. Posecut: Simultaneous segmentation and 3d pose estimation of humans using dynamic graph-cuts. In ECCV, Lecture Notes in Computer Science, pages 642-655, Graz, May 2006. Springer.
3. M. Brubaker, D. J. Fleet, and A. Hertzmann. Physics-based person tracking using simplified lower-body dynamics. In CVPR, Minnesota, 2007. IEEE Computer Society Press.
4. T. Chan and L. Vese. Active contours without edges. Trans. Image Processing, 10(2):266-277, Feb. 2001.
5. S. Dambreville, A. Yezzi, R. Sandhu, and A. Tannenbaum. Robust 3d pose estimation and efficient 2d region-based segmentation from a 3d shape prior. In Proc. 10th European Conference on Computer Vision, Lecture Notes in Computer Science. Springer, 2008.
6. S. Gibson, J. Cook, T. Howard, R. Hubbold, and D. Oram. Accurate camera calibration for off-line, video-based augmented reality. In ISMAR, Darmstadt, Germany, 2002.
7. R. I. Hartley and A. Zisserman. Multiple View Geometry. Cambridge University Press, 2000.
8. H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, and W. Stuetzle. Surface reconstruction from unorganized points. In SIGGRAPH, 1992.
9. D. Liebowitz and S. Carlsson. Uncalibrated motion capture exploiting articulated structure constraints. In ICCV. IEEE Computer Society Press, 2001.
10. D. G. Lowe. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision, 60(2):91-110, 2004.
11. D. W. Marquardt. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11(2):431-441, June 1963.
12. T. B. Moeslund, A. Hilton, and V. Krüger. A survey of advances in vision-based human motion capture and analysis. Computer Vision and Image Understanding, 104(2):90-126, 2006.
13. D. Morgan, E. George, L. Lee, and S. Kay. Cochannel speaker separation by harmonic enhancement and suppression. Speech and Audio Processing, IEEE Transactions on, 5(5):407-424, Sept. 1997.
14. R. Murray, Z. Li, and S. Sastry. Mathematical Intro. to Robotic Manipulation. CRC Press, Baton Rouge, 1994.
15. J.-R. Ohm and H. D. Lüke. Signalübertragung. Springer, 2006.
16. A. Papoulis. The Fourier integral and its applications. McGraw-Hill Electronic Sciences series. McGraw- Hill, 1962.
17. M. Pollefeys, L. V. Gool, M. Vergauwen, F. Verbiest, K. Cornelis, J. Tops, and R. Koch. Visual modeling with a handheld camera. IJCV, 59(3):207-232, 2004.
18. R. Poppe. Vision-based human motion analysis: An overview. Computer Vision and Image Understanding (CVIU), 108(1-2):4-18, October 2007.
19. B. Rosenhahn, T. Brox, and H.-P. Seidel. Scaled motion dynamics for markerless motion capture. In Conference of Computer Vision and Pattern Recognition (CVPR), Minnesota, 2007. IEEE Computer Society Press.
20. B. Rosenhahn, T. Brox, and J. Weickert. Three-dimensional shape knowledge for joint image segmentation and pose tracking. IJCV, 73(3):243-262, 2007.
21. J. Shi and C. Tomasi. Good features to track. In CVPR, pages 593-600, 1994.
22. H. Sidenbladh, M. J. Black, and L. Sigal. Implicit probabilistic models of human motion for synthesis and tracking. In ECCV, pages 784-800. Springer, 2002.
23. S. Sinha, M. Pollefeys, and L. McMillan. Camera network calibration from dynamic silhouettes. Proc. International Conference on Computer Vision and Pattern Recognition, 1:195-202, June 2004.
24. M. Siracusa, L.-P. Morency, K.Wilson, J. Fisher, and T. Darrell. A multi-modal approach for determining speaker location and focus. In ICMI, pages 77-80, New York, NY, USA, 2003. ACM.
25. M. Slaney and M. Covell. Facesync: A linear operator for measuring synchronization of video facial images and audio tracks. In NIPS 2000, volume 13, Denver, CO, USA, Nov. 2000. MIT Press.
26. C. Sminchisescu and A. Jepson. Generative modeling for continuous non-linearly embedded visual inference. In Proc. Int. Conf. on Machine Learning, 2004.
27. T. Thormählen, N. Hasler, M.Wand, and H.-P. Seidel. Merging of unconnected feature tracks for robust camera motion estimation from video. In CVMP, Nov. 2008.
28. R. Urtasun, D. J. Fleet, and P. Fua. 3D people tracking with Gaussian process dynamical models. In CVPR, pages 238- 245. IEEE Computer Society Press, 2006.
29. M. Vondrak, L. Sigal, and O. C. Jenkins. Physical simulation for probabilistic motion tracking. In Conference of Computer Vision and Pattern Recognition (CVPR), Anchorage, 2008. IEEE Computer Society Press.
30. M. Wand, A. Berner, M. Bokeloh, P. Jenke, A. Fleck, M. Hoffmann, B. Maier, D. Staneker, A.Schilling, and H.-P. Seidel. Processing and interactive editing of huge point clouds from 3d scanners. Computers and Graphics, 32(2):204-220, 2008.