Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings

[1]  Robert C. Bolles,et al.  Parametric Correspondence and Chamfer Matching: Two New Techniques for Image Matching , 1977, IJCAI.

[2]  R. Battison,et al.  Lexical Borrowing in American Sign Language , 1978 .

[3]  J. Bourgain On lipschitz embedding of finite metric spaces in Hilbert space , 1985 .

[4]  Yoram Singer,et al.  Improved Boosting Algorithms Using Confidence-rated Predictions , 1998, COLT' 98.

[5]  Alex Pentland,et al.  Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Jin-Hyung Kim,et al.  An HMM-Based Threshold Model Approach for Gesture Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[8]  S T Roweis,et al.  Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.

[9]  Dimitris N. Metaxas,et al.  A Framework for Recognizing the Simultaneous Aspects of American Sign Language , 2001, Comput. Vis. Image Underst..

[10]  Andrew McCallum,et al.  Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.

[11]  Eamonn Keogh Exact Indexing of Dynamic Time Warping , 2002, VLDB.

[12]  Hanan Samet,et al.  Properties of Embedding Methods for Similarity Searching in Metric Spaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Hanna M. Wallach,et al.  Conditional Random Fields: An Introduction , 2004 .

[14]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.

[15]  Ramesh Raskar,et al.  Exploiting Depth Discontinuities for Vision-Based Fingerspelling Recognition , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[16]  Jitendra Malik,et al.  Efficient shape matching using shape contexts , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Surendra Ranganath,et al.  Automatic Sign Language Analysis: A Survey and the Future beyond Lexical Meaning , 2005, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Ruiduo Yang,et al.  Detecting Coarticulation in Sign Language using Conditional Random Fields , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[19]  B. Parton Sign language recognition and translation: a multidisciplined approach from the field of artificial intelligence. , 2005, Journal of deaf studies and deaf education.

[20]  Eun-Jung Holden,et al.  Dynamic Fingerspelling Recognition using Geometric and Motion Features , 2006, 2006 International Conference on Image Processing.

[21]  Dimitris N. Metaxas,et al.  Learning-based dynamic coupling of discrete and continuous trackers , 2006, Comput. Vis. Image Underst..

[22]  Anonymous Cvpr submission Anonymous,et al.  Robust Online Change-point Detection in Video Sequences , 2006, CVPR 2006.

[23]  S. Sclaroff,et al.  Learning embeddings for indexing, retrieval, and classification, with applications to object and shape recognition in image databases , 2006 .

[24]  Sang-Woong Lee,et al.  Multiple Human Detection and Tracking Based on Weighted Temporal Texture Features , 2006, Int. J. Pattern Recognit. Artif. Intell..

[25]  Finley R. Lewis Focus on nonverbal communication research , 2007 .

[26]  Ruiduo Yang,et al.  Enhanced Level Building Algorithm for the Movement Epenthesis Problem in Sign Language Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[27]  George Kollios,et al.  BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Marcel J. T. Reinders,et al.  Sign Language Recognition by Combining Statistical DTW and Independent Classification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Jean-Philippe Thiran,et al.  Finger-spelling recognition within a collaborative segmentation/behavior inference framework , 2008, 2008 16th European Signal Processing Conference.

[30]  Hermann Ney,et al.  Benchmark Databases for Video-Based Automatic Sign Language Recognition , 2008, LREC.

[31]  Stephan Liwicki,et al.  Automatic recognition of fingerspelled words in British Sign Language , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[32]  Stan Sclaroff,et al.  A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  Stan Sclaroff,et al.  Sign Language Spotting with a Threshold Model Based on Conditional Random Fields , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[34]  Liya Ding,et al.  Modelling and recognition of the linguistic components in American Sign Language , 2009, Image Vis. Comput..

[35]  Jitendra Malik,et al.  Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.