Manifold learning for ToF-based human body tracking and activity recognition

British Machine Vision Conference, BMVC 2010 - Proceedings

Volumn , Issue , 2010, Pages

  Schwarz, Loren Arthur ^a   Mateus, Diana ^a   Castañeda, Victor ^a   Navab, Nassir ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATA PROCESSING;

ACTIVITY RECOGNITION; HUMAN BODY TRACKING; LOW-DIMENSIONAL MANIFOLDS; MANIFOLD LEARNING; MOTION MODELING; NON-LINEAR REGRESSION; TIME OF FLIGHT (TOF) CAMERAS; TRACKING PROBLEM;

MOTION ESTIMATION;

EID: 84898470991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.24.80     Document Type: Conference Paper

References (27)

1. A Agarwal, B Triggs, and F Montbonnot. Recovering 3d human pose from monocular images. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 28 (1):44-58, 2006.
2. A O Balan, L Sigal, M J Black, J E Davis, and H W Haussecker. Detailed human shape and pose from images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), May 2007.
3. M Belkin and P Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6):1373-1396, Feb 2003.
4. A Elgammal and C Lee. The role of manifold learning in human motion analysis. Human Motion Understanding, Modeling, Capture and Animation, pages 1-29, 2008.
5. V Ganapathi, C Plagemann, D Koller, and S Thrun. Real time motion capture using a single time-of-flight camera. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
6. M Haker, M Böhme, M Martinetz, and E Barth. Scale-invariant range features for time-of-flight camera applications. ToF Camera Based Computer Vision, 2008.
7. M B Holte, T B Moeslund, and P Fihl. Fusion of range and intensity information for view invariant gesture recognition. Computer Vision and Pattern Recognition Workshops, May 2008.
8. M Isard and A Blake. Condensation-conditional density propagation for visual tracking. International Journal of Computer Vision, Jan 1998.
9. Michael Isard and Andrew Blake. A mixed-state condensation tracker with automatic model-switching. IEEE International Conference on Computer Vision (ICCV), pages 107-112, 1998.
10. T Jaeggli, E Koller-Meier, and L Van Gool. Learning generative models for multi-activity body pose estimation. International Journal of Computer Vision, 83(2):121-134, 2009.
11. R Jensen, R Paulsen, and R Larsen. Analyzing gait using a time-of-flight camera. Scandinavian Conference on Image Analysis, pages 21-30, 2009.
12. A E Johnson and M Hebert. Using spin images for efficient object recognition in cluttered 3d scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), May 1999.
13. A Kanaujia, C Sminchisescu, and D Metaxas. Spectral latent variable models for perceptual inference. IEEE International Conference on Computer Vision (ICCV), 2007.
14. R Koch, I Schiller, B Bartczak, F Kellner, and K Köser. MixIn3D: 3D mixed reality with tof-camera. Dynamic 3D Imaging, pages 126-141, 2010.
15. A Kolb, E Barth, R Koch, and R Larsen. Time-of-flight sensors in computer graphics. EUROGRAPHICS, pages 119-134, 2009.
16. E Kollorz, J Penne, J Hornegger, and A Barke. Gesture recognition with a time-of-flight camera. International Journal of Intelligent Systems Technologies and Applications, 5 (3):334-343, 2008.
17. Z Lu, M Carreira-Perpinan, and C Sminchisescu. People tracking with the lapla-cian eigenmaps latent variable model. Neural Information Processing Systems (NIPS), 2007.
18. C Plagemann, V Ganapathi, and D Koller. Real-time identification and localization of body parts from depth images. IEEE International Comference on Robotics and Automation (ICRA), Jan 2010.
19. J Rodgers, D Anguelov, H.-C Pang, and D Koller. Object pose detection in range scan data. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
20. L Schwarz, D Mateus, and N Navab. Multiple-activity human body tracking in unconstrained environments. Articulated Motion and Deformable Objects (AMDO), 2010.
21. S Soutschek, J Penne, J Hornegger, and J Kornhuber. 3D gesture-based scene navigation in medical imaging applications using time-of-flight cameras. Computer Vision and Pattern Recognition Workshops, Apr 2008.
22. R Urtasun, DJ Fleet, A Hertzmann, and P Fua. Priors for people tracking from small training sets. IEEE International Conference on Computer Vision (ICCV), 2005.
23. R Urtasun, DJ Fleet, and P Fua. 3D people tracking with gaussian process dynamical models. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
24. D Vlasic, R Adelsberger, G Vannucci, and J Barnwell. Practical motion capture in everyday surroundings. ACM Transactions on Graphics (TOG), 2007.
25. D Weinland, R Ronfard, and E Boyer. Free viewpoint action recognition using motion history volumes. Computer Vision and Image Understanding (CVIU), 104(2-3):249-257, Nov 2006.
26. D Weinland, E Boyer, and R Ronfard. Action recognition from arbitrary views using 3D exemplars. IEEE International Conference on Computer Vision (ICCV), 2007.
27. Y Zhu, B Dariush, and K Fujimura. Controlled human pose estimation from depth image streams. Computer Vision and Pattern Recognition Workshops, 2008.