CSE 6369 - Sign Language Recognition
Reading Material
The following list of papers will be used as a starting point in surveying related literature. Students will be expected to identify and study additional papers that are relevant to their projects.
- Detection and Tracking of Humans
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(assigned to Rommel)
P. Buehler, M. Everingham, D. P. Huttenlocher, A. Zisserman.
Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts
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In British Machine Vision Conference, 2008.
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(assigned to Zhong)
V. Ferrari, M. Marin-Jimenez, and A. Zisserman.
Progressive search space reduction for human pose estimation
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In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
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P. Viola, M. Jones, and D. Snow.
Detecting pedestrians using patterns of motion and appearance
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In International Conference on Computer Vision (ICCV), volume 2, pages 734-741, 2003.
- M. W. Lee and R. Nevatia.
Human pose tracking in monocular sequence using multilevel structured models
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IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 31(1):27-38, 2009.
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(assigned to Zhong)
L. Sigal, S. Bhatia, S. Roth, M. J. Black, and M. Isard.
Tracking loose-limbed people
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In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 421-428, 2004.
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J. Wang, V. Athitsos, S. Sclaroff, and M. Betke.
Detecting objects of variable shape structure with Hidden State Shape Models
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IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 30(3):477-492, 2008.
- Gesture Recognition
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J. Alon, V. Athitsos, Q. Yuan, and S. Sclaroff.
A unified framework for gesture recognition and spatiotemporal gesture segmentation
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IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 31(9):1685-1699, 2009.
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A.F. Bobick and J.W. Davis.
The recognition of human movement using temporal templates
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IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 23(3):257-267, 2001.
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(assigned to Weihua)
L. Gorelick, M. Blank, E. Shechtman, M. Irani, and R. Basri.
Actions as space-time shapes
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IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 12, pp. 2247-2253, 2007.
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Y. Ke, R. Sukthankar, and M. Hebert.
Efficient visual event detection using volumetric features
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In IEEE International Conference on Computer Vision (ICCV), vol. 1, 2005, pp. 166-173.
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Sushmita Mitra and Tinku Acharya.
Gesture Recognition: A Survey
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IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol.37, no.3, pp.311-324, May 2007.
- Sign Language Recognition
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H. Cooper and R. Bowden.
Learning signs from subtitles: A weakly supervised approach to sign language recognition
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In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2009) 2568-2574.
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S. Nayak, S. Sarkar, and B. Loeding.
Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2583-2590, June 2009.
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Sylvie C.W. Ong and Surendra Ranganath.
Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning
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IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 27, no. 6, June 2005
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(assigned to Alexis) T. Starner and A. Pentland.
Real-time American Sign Language recognition using
desk and wearable computer based video
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IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (1998) 1371-1375.
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C. Vogler and D.N. Metaxas.
Parallel Hidden Markov Models for American Sign Language recognition
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In IEEE International Conference on Computer Vision (ICCV).
(1999) 116-122.
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(assigned to Chris)
H. Wang, A. Stefan, S. Moradi, V. Athitsos, C. Neidle, and F. Kamangar.
A system for large vocabulary sign search
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In Workshop on Sign, Gesture and Activity (SGA), 2010.
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M. Zahedi, P. Dreuw, D. Rybach, T. Deselaers, and H. Ney.
Geometric Features for Improving Continuous Appearance-based Sign Language Recognition
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In British Machine Vision Conference (BMVC), volume 3, pages 1019-1028, 2006.
- Theoretical Methods
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(assigned to Soheil)
A. Blake and M. Isard.
The CONDENSATION algorithm - conditional density propagation for visual tracking
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International Journal of Computer Vision (IJCV), 29(1), pages 5-28, 1998.
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(assigned to Pat)
G.R. Hjaltason and H. Samet.
Properties of embedding methods for similarity searching in metric spaces
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(5):530-549, 2003.
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Kevin Murphy.
Dynamic Bayesian Networks: Representation, Inference and Learning
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Ph.D. Thesis, UC Berkeley, 2002.
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A. Quattoni, S. Wang, L.-P. Morency, M. Collins, and T. Darrell.
Hidden conditional random fields
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IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 29, no. 10, pp. 1848-1852,
2007.
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Lawrence R. Rabiner.
A tutorial on hidden markov models and selected applications in speech recognition
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Proceedings of the IEEE, 1989, pages 257-286.
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P. Viola and M. Jones.
Rapid object detection using a boosted cascade of simple features
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In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 511-518, 2001.
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Greg Welch and Gary Bishop.
An Introduction to the Kalman Filter
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University of North Carolina Technical Report TR 95-041, 1995.