Human activity tracking from moving camera stereo data

BMVC 2008 - Proceedings of the British Machine Vision Conference 2008

Volumn , Issue , 2008, Pages

  Darby, John ^a   Li, Baihua ^a   Costen, Nicholas ^a  

^a MANCHESTER METROPOLITAN UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS;

ACTIVITY MODELING; ANNEALED PARTICLE FILTERS; HUMAN ACTIVITIES; LOW DIMENSIONAL; MOTION CAPTURE DATA; NOVEL TECHNIQUES; OPTIMAL TRACKING; STEREO IMAGE PAIRS;

COMPUTER VISION;

EID: 84898448964     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.22.86     Document Type: Conference Paper

References (19)

1. Videre Design. http://www.videredesign.com; Last accessed: July 2008.
2. M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for online nonlinear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174-188, 2002.
3. P. Azad, A. Ude, T. Asfour, and R. Dillmann. Stereo-based markerless human motion capture for humanoid robot systems. In ICRA, pages 3951-3956, 2007.
4. P. Azad, A. Ude, R. Dillmann, and G. Cheng. A full body human motion capture system using particle filtering and on-the-fly edge detection. In ICHR, pages 941-959, 2004.
5. A. O. Bǎlan, L. Sigal, and M. J. Black. A quantitative evaluation of video-based 3D person tracking. In VS-PETS, pages 349-356, 2005.
6. D. Demirdjian. Enforcing constraints for human body tracking. In WOMOT, 2003.
7. J. Deutscher and I. Reid. Articulated body motion capture by stochastic search. International Journal of Computer Vision, 61(2):185-205, 2005.
8. S. Hou, A. Galata, F. Caillette, N. Thacker, and P. Bromiley. Real-time body tracking using a gaussian process latent variable model. In ICCV, pages 1-8, 2007.
9. N. Jojic, M. Turk, and T. S. Huang. Tracking self-occluding articulated objects in dense disparity maps. In ICCV, pages 123-130, 1999.
10. K. Konolige. Small vision systems: hardware and implementation. In ISRR, pages 111-116, 1997.
11. R. Li, M-H. Yang, S. Sclaroff, and T-P. Tian. Monocular tracking of 3D human motion with a coordinated mixture of factor analyzers. In ECCV, pages 137-150, 2006.
12. R. Plänkers and P. Fua. Articulated soft objects for multiview shape and motion capture. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9):1182-1187, 2003.
13. L. Raskin, E. Rivlin, and M. Rudzsky. Using gaussian process annealing particle filter for 3D human tracking. EURASIP Journal on Advances in Signal Processing, 2008.
14. H. Sidenbladh, M. J. Black, and L. Sigal. Implicit probabilistic models of human motion for synthesis and tracking. In ECCV, pages 784-800, 2002.
15. T. P. Tian, R. Li, and S. Sclaroff. Articulated pose estimation in a learned smooth space of feasible solutions. In CVPR Learning Workshop, 2005.
16. R. Urtasun, D. J. Fleet, and P. Fua. 3D people tracking with gaussian process dynamical models. In CVPR, pages 238-245, 2006.
17. R. Urtasun, D. J. Fleet, A. Hertzmann, and P. Fua. Priors for people tracking from small training sets. In ICCV, pages 403-410, 2005.
18. R. Urtasun and P. Fua. 3D human body tracking using deterministic temporal motion models. In ECCV, pages 92-106, 2004.
19. J. Wang, D. Fleet, and A. Hertzmann. Gaussian process dynamical models. In NIPS, pages 1441-1448, 2005.