Markerless motion capture of man-machine interaction

26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR

Volumn , Issue , 2008, Pages

  Rosenhahn, Bodo ^a   Weickert, Joachim ^b   Schmaltz, Christian ^b   Brox, Thomas ^c   Cremers, Daniel ^d   Seidel, Hans Peter ^a  

^a MPI Computer Science   (Germany)

^b SAARLAND UNIVERSITY   (Germany)

^c DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^d UNIVERSITY OF BONN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER VISION; FEATURE EXTRACTION; FLOW INTERACTIONS; HEALTH; IMAGE PROCESSING; MOTION ESTIMATION; PATTERN RECOGNITION;

CIRCULAR TRAJECTORIES; D-SPACE; ILLUMINATION CHANGES; JOINT MOVEMENTS; MAN MACHINE INTERACTIONS; MARKERLESS MOTION CAPTURE; MARKERLESS TRACKING; MOTION CAPTURE; OUTDOOR SCENES; SOFT CONSTRAINTS;

THREE DIMENSIONAL;

EID: 51949115864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2008.4587520     Document Type: Conference Paper

References (23)

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 Proc. International Conference on Computer Vision, 2007.
2. C. Bregler, J. Malik, and K. Pullen. Twist based acquisition and tracking of animal and human kinetics. International Journal of Computer Vision, 56(3):179-194, 2004.
3. M. Brubaker, D. J. Fleet, and A. Hertzmann. Physics-based person tracking using simplified lower-body dynamics. In Conference of Computer Vision and Pattern Recognition (CVPR), Minnesota, 2007. IEEE Computer Society Press.
4. G. Caldwell, J. Hagberg, S. McCole, and L. Li. Lower extremity joint moments during uphill cycling. Journal of Applied Biomechanics, (15):166-181, 1999.
5. J. Carranza, C. Theobalt, M. A. Magnor, and H.-P. Seidel. Free-viewpoint video of human actors. In Proc. SIGGRAPH 2003, pages 569-577, 2003.
6. H. Cheng and Y. Yiu. Dynamics and control of redundantly actuated parallel manipulators. Trans. on Mechatronics, 8(4):483-491, 2003.
7. S. Delorme, S. Tavoularis, and M. Lamontagne. Kinematics of the ankle joint complex in snowboarding. Journal of Applied Biomechanics, 21(4):394-403, 2005.
8. D. A. Forsyth, O. Arikan, L. Ikemoto, J. O'Brien, and D. Ramanan. Computational studies of human motion: part 1, tracking and motion synthesis. Found. Trends. Comput. Graph. Vis., 1(2-3):77-254, 2005.
9. P. Fua, R. Plänkers, and D. Thalmann. Tracking and modeling people in video sequences. Computer Vision and Image Understanding, 81(3):285-302, 2001.
10. J. Gallier. Geometric Methods and Applications For Computer Science and Engineering. Springer-Verlag, New York Inc., 2001.
11. X. Gao, D. Dawson, and Z. Qu. On the robust control of two manipulators holding a rigid object. Journal of Intelligent and Robotic Systems, 8:107-119, 1992.
12. D. Gavrila. The visual analysis of human movement: A survey. Computer Vision and Image Understanding, 73(1):82-92, 1999.
13. L. Herda, R. Urtasun, and P. Fua. Implicit surface joint limits to constrain video-based motion capture. In T. Pajdla and J. Matas, editors, Proc. 8th European Conference on Computer Vision, volume 3022 of Lecture Notes in Computer Science, pages 405-418, Prague, 2004. Springer.
14. D. Kim, J. Kang, and K. Lee. Robust tracking control design for a 6 dof parallel manipulator. Journal of Robotics Systems, 17(10):527-547, 2000.
15. 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.
16. R. Murray, Z. Li, and S. Sastry. Mathematical Introduction to Robotic Manipulation. CRC Press, Baton Rouge, 1994.
17. J. Ostrowski. Computing reduced equations for robotic systems with constraints and symmetries. Trans. on Robotics and Automation, 15(1):111-123, 1999.
18. C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L.Wietzke, and G. Sommer. Region-based pose tracking. In J. Martí, J.M. Benedí, A. M. Mendonça, and J. Serrat, editors, Pattern Recognition and Image Analysis, volume 4478 of LNCS, pages 56-63, Girona, Spain, June 2007. Springer.
19. H. Sidenbladh, M. J. Black, and L. Sigal. Implicit probabilistic models of human motion for synthesis and tracking. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Proc. European Conference on Computer Vision, volume 2353 of LNCS, pages 784-800. Springer, 2002.
20. C. Sminchisescu and A. Jepson. Generative modeling for continuous non-linearly embedded visual inference. In Proc. International Conference on Machine Learning, 2004.
21. C. Sminchisescu and B. Triggs. Estimating articulated human motion with covariance scaled sampling. International Journal of Robotics Research, 22(6):371-391, 2003.
22. R. Urtasun, D. J. Fleet, and P. Fua. 3D people tracking with Gaussian process dynamical models. In Proc. International Conference on Computer Vision and Pattern Recognition, pages 238-245. IEEE Computer Society Press, 2006.
23. Y. Zweiri, L. Senevirante, and K. Althoefer. Modelling of closed-chain manipulators on an excavator vehicle. Mathematical and Computer Modeling of Dynamical Systems, 12(4):329-345, 2003.