Estimating gait phase using low-level motion

2008 IEEE Workshop on Motion and Video Computing, WMVC

Volumn , Issue , 2008, Pages

  Daubney, Ben ^a   Gibson, David ^a   Campbell, Neill ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GAIT-PHASE; MOTION AND VIDEO COMPUTING;

FEATURE EXTRACTION;

EID: 51149111823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WMVC.2008.4544060     Document Type: Conference Paper

References (16)

1. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp. A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking. IEEE Transactions on Signal Processing, 50(2):174-188, 2002. 5
2. F. Caillette, A. Galata, and T. Howard. Real-Time 3-D Human Body Tracking using Variable Length Markov Models. In BMVC, pages 469-478, 2005. 1, 2
3. J. Coughlan, A. Yuille, C. English, and D. Snow. Efficient deformable template detection and localization without user initialization. CVIU, 78(3):303-319, 2000. 2
4. J. E. Cutting and L. T. Kozlowski. Recognizing friends by their walk: Gait perception without familiarity cues. Bulletin Psychonometric Society, 9:353-356, 1977. 1
5. J. Deutscher, A. Blake, and I. D. Reid. Articulated body motion capture by annealed particle filtering. In CVPR (2), pages 126-133, 2000. 1
6. C. A. Hack and C. J. Taylor. Modelling 'talking head' behaviour. In BMVC, pages 33-42, 2003. 3
7. S. Hu and B. F. Buxton. Using temporal coherence for gait pose estimation from a monocular camera view. In BMVC, pages 449-558, 2005. 1, 2
8. G. Johansson. Visual perception of biological motion and a model for its analysis. Perception and Psychophysics, 14:201-211, 1973. 1
9. X. Lan and D. P. Huttenlocher. A unified spatio-temporal articulated model for tracking. In CVPR (1), pages 722-729, 2004. 5
10. G.Mather and L.Murdoch. Gender discrimination in biological motion displays based on dynamic cues. Proc. R. Soc. Lond. B, 259:273-279, 1994. 1
11. A. S. Micilotta, E. J. Ong, and R. Bowden. Real-Time Upper Body Detection and 3D Pose Estimation in Monoscopic Images. In ECCV (3), pages 139-150, 2006. 1
12. R. Navaratnam, A. Thayananthan, P. Torr, and R. Cipolla. Hierarchical part-based human body pose estimation. In BMVC, pages 479-488, 2005. 1
13. L. R. Rabiner. A tutorial on hidden markov models and selected apllications in speech recognition. In A. Waibel and K.-F. Lee, editors, Readings in Speech Recognition, pages 267-296. Kaufmann, San Mateo, CA, 1990. 3
14. J. Shi and C. Tomasi. Good features to track. In CVPR, pages 593-600, 1994. 2
15. H. Sidenbladh,M. J. Black, and D. J. Fleet. Stochastic Tracking of 3D Human Figures Using 2D ImageMotion. In ECCV (2), pages 702-718, 2000. 2
16. R. Urtasun, D. J. Fleet, and P. Fua. Temporal motion models for monocular and multiview 3D human body tracking. In CVIU, volume 104, pages 157-177, New York, NY, USA, 2006. Elsevier Science Inc. 1, 5