Long term arm and hand tracking for continuous sign language TV broadcasts

BMVC 2008 - Proceedings of the British Machine Vision Conference 2008

Volumn , Issue , 2008, Pages

  Buehler, P ^a   Everingham, M ^b   Huttenlocher, D P ^c   Zisserman, A ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c Department of Obstetrics Gynecology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TARGET TRACKING; TELEVISION BROADCASTING;

EFFICIENT SAMPLING; GENERATIVE MODEL; IMAGE CONDITIONS; LIMB DETECTIONS; PICTORIAL STRUCTURES; PROPOSAL DISTRIBUTION; TEMPORAL TRACKING; VIDEO SEQUENCES;

COMPUTER VISION;

EID: 84898478366     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.22.110     Document Type: Conference Paper

References (20)

1. H. Cooper and R. Bowden. Large lexicon detection of sign language. ICCV, Workshop HCI, 2007.
2. N. Dalal and B Triggs. Histogram of oriented gradients for human detection. In Proc. CVPR, 2005.
3. A. Farhadi, D. Forsyth, and R. White. Transfer learning in sign language. In Proc. CVPR, 2007.
4. P. Felzenszwalb and D. Huttenlocher. Pictorial structures for object recognition. IJCV, 2005.
5. P. F. Felzenszwalb and D. P. Huttenlocher. Efficient matching of pictorial structures. In Proc. CVPR, 2000.
6. M. Fischler and R. Elschlager. The representation and matching of pictorial structures. IEEE Transactions on Computer, 1973.
7. A. Fossati, M. Dimitrijevic, V. Lepetit, and P. Fua. Bridging the gap between detection and tracking for 3D monocular video-based motion capture. In Proc. CVPR, 2007.
8. T. Kadir, R. Bowden, E. J. Ong, and A. Zisserman. Minimal training, large lexicon, unconstrained sign language recognition. In Proc. BMVC, 2004.
9. M. P. Kumar, P. H. S. Torr, and A. Zisserman. Learning layered motion segmentations of video. Proc. ICCV, 2005.
10. M.W. Lee and I. Cohen. A model-based approach for estimating human 3D poses in static images. IEEE PAMI, 2006.
11. Z. Lin, L.S. Davis, D. Doermann, and D. DeMenthon. An interactive approach to pose-assisted and appearance-based segmentation of humans. In ICCV, Workshop on Interactive Computer Vision, 2007.
12. R. Navaratnam, A. Thayananthan, P.H.S. Torr, and R. Cipolla. Hierarchical part-based human body pose estimation. In Proc. BMVC, 2005.
13. E.J. Ong and R. Bowden. A boosted classifier tree for hand shape detection. In Proc. Int. Conf. Autom. Face and Gesture Recog., 2004.
14. D. Ramanan. Learning to parse images of articulated bodies. In NIPS. MIT Press, 2006.
15. D. Ramanan, D. A. Forsyth, and A. Zisserman. Strike a pose: Tracking people by finding stylized poses. In Proc. CVPR, 2005.
16. L. Sigal and M.J. Black. Measure locally, reason globally: Occlusion-sensitive articulated pose estimation. In Proc. CVPR, 2006.
17. J. Sivic, C. L. Zitnick, and R. Szeliski. Finding people in repeated shots of the same scene. BMVC, 2006.
18. T. Starner, J. Weaver, and A. Pentland. Real-time American sign language recognition using desk- and wearable computer-based video. IEEE PAMI, 1998.
19. D. Tran and D. Forsyth. Configuration estimates improve pedestrian finding. In NIPS, 2007.
20. C. Yanover and Y. Weiss. Finding the M most probable configurations using loopy belief propagation. In NIPS, 2003.