A data-driven approach for real-time full body pose reconstruction from a depth camera

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 1092-1099

  Baak, Andreas ^a   Muller, Meinard ^a   Bharaj, Gaurav ^a   Seidel, Hans Peter ^a   Theobalt, Christian ^a  

^a SAARLAND UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

3D POSE ESTIMATION; COMPLEX MOTION; DATA-DRIVEN; DATA-DRIVEN APPROACH; DEPTH CAMERA; DEPTH IMAGE; DIJKSTRA'S ALGORITHMS; FULL BODY; FULL-BODY MOTIONS; GLOBAL RETRIEVALS; HAUSDORFF DISTANCE; HYBRID STRATEGIES; LOCAL OPTIMIZATIONS; POSE ESTIMATION; REAL TIME TRACKING; REAL-TIME FRAME RATES; SELF-OCCLUSIONS; TECHNICAL IMPROVEMENT;

CAMERAS; GESTURE RECOGNITION; IMAGE PROCESSING;

THREE DIMENSIONAL;

EID: 84863395338     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126356     Document Type: Conference Paper

References (30)

1. A. Baak, B. Rosenhahn, M. Müller, and H.-P. Seidel. Stabilizing motion tracking using retrieved motion priors. In ICCV, pages 1428-1435, 2009.
2. A. O. Balan, L. Sigal, M. J. Black, J. E. Davis, and H. W. Haussecker. Detailed human shape and pose from images. In CVPR, pages 1-8, 2007.
3. A. Bleiweiss, E. Kutliroff, and G. Eilat. Markerless motion capture using a single depth sensor. In SIGGRAPH ASIA Sketches, 2009.
4. C. Bregler, J. Malik, and K. Pullen. Twist based acquisition and tracking of animal and human kinematics. IJCV, 56(3):179-194, 2004.
5. T. H. Cormen, C. Stein, C. E. Leiserson, and R. L. Rivest. Introduction to Algorithms. B&T, 2001.
6. D. Demirdjian, L. Taycher, G. Shakhnarovich, K. Graumanand, and T. Darrell. Avoiding the streetlight effect: tracking by exploring likelihood modes. In ICCV, volume 1, pages 357-364, 2005.
7. J. Deutscher, A. Blake, and I. Reid. Articulated body motion capture by annealed particle filtering. In CVPR, volume 2, pages 126-133, 2000.
8. R. Friborg, S. Hauberg, and K. Erleben. GPU accelerated likelihoods for stereo-based articulated tracking. In ECCV Workshops (CVGPU), 2010.
9. J. Gall, C. Stoll, E. de Aguiar, C. Theobalt, B. Rosenhahn, and H.-P. Seidel. Motion capture using joint skeleton tracking and surface estimation. In CVPR, pages 1746-1753, 2009.
10. V. Ganapathi, C. Plagemann, S. Thrun, and D. Koller. Real time motion capture using a single time-of-flight camera. In CVPR, 2010.
11. P. Guan, A. Weiss, A. O. Bǎlan, and M. J. Black. Estimating human shape and pose from a single image. In ICCV, 2009.
12. N. Hasler, T. Thormählen, and H.-P. Seidel. Multilinear pose and body shape estimation of dressed subjects from image sets. In CVPR, pages 1823-1830, 2010.
13. S. Knoop, S. Vacek, and R. Dillmann. Fusion of 2D and 3D sensor data for articulated body tracking. Robotics and Autonomous Systems, 57(3):321-329, 2009.
14. A. Kolb, E. Barth, R. Koch, and R. Larsen. Time-of-flight sensors in computer graphics. CGF, 29(1):141-159, 2010.
15. J. P. Lewis, M. Cordner, and N. Fong. Pose space deformation: A unified approach to shape interpolation and skeletondriven deformation. In SIGGRAPH, pages 165-172, 2000.
16. T.Moeslund, A. Hilton, and V. Kr üger. A survey of advances in vision-based human motion capture and analysis. CVIU, 104(2):90-126, 2006.
17. R. M. Murray, Z. Li, and S. S. Sastry. A Mathematical Intro-duction to Robotic Manipulation. CRC Press, 1994.
18. R. Okada and B. Stenger. A single camera motion capture system for human-computer interaction. IEICE, E91-D:1855-1862, 2008.
19. Y. Pekelny and C. Gotsman. Articulated object reconstruction and markerless motion capture from depth video. CGF, 27(2):399-408, 2008.
20. C. Plagemann, V. Ganapathi, D. Koller, and S. Thrun. Realtime identification and localization of body parts from depth images. In ICRA, 2010.
21. R. Poppe. A survey on vision-based human action recognition. Image and Vision Computing, 28(6):976-990, 2010.
22. R. Rosales and S. Sclaroff. Inferring body pose without tracking body parts. In CVPR, pages 721-727, 2000.
23. R. Rosales and S. Sclaroff. Combining generative and discriminative models in a framework for articulated pose estimation. IJCV, 67:251-276, 2006.
24. B. Rosenhahn, C. Schmaltz, T. Brox, J. Weickert, D. Cremers, and H.-P. Seidel. Markerless motion capture of manmachine interaction. In CVPR, pages 1-8, 2008.
25. M. Salzmann and R. Urtasun. Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. In CVPR, 2010.
26. G. Shakhnarovich, P. Viola, and T. Darrell. Fast pose estimation with parameter-sensitive hashing. In ICCV, pages 750-757, 2003.
27. L. Shapiro and G. Stockman. Computer Vision. PH, 2002.
28. L. Sigal, L. Balan, and M. Black. Combined discriminative and generative articulated pose and non-rigid shape estimation. In NIPS, pages 1337-1344, 2008.
29. R. Y. Wang and J. Popovic. Real-time hand-tracking with a color glove. TOG, 28(3), 2009.
30. Y. Zhu, B. Dariush, and K. Fujimura. Kinematic self retargeting: A framework for human pose estimation. CVIU, 114(12):1362-1375, 2010. Special issue on Time-of-Flight Camera Based Computer Vision.