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Evaluating Systems for Multilingual and Multimodal Information Access : 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark, September 17-19, 2008, Revised Selected Papers
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UB Frankfurt Linguistik
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Using Different Aspects Of The Signings For Appearance-Based Sign Language Recognition ...
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Abstract:
Sign language is used by the deaf and hard of hearing people for communication. Automatic sign language recognition is a challenging research area since sign language often is the only way of communication for the deaf people. Sign language includes different components of visual actions made by the signer using the hands, the face, and the torso, to convey his/her meaning. To use different aspects of signs, we combine the different groups of features which have been extracted from the image frames recorded directly by a stationary camera. We combine the features in two levels by employing three techniques. At the feature level, an early feature combination can be performed by concatenating and weighting different feature groups, or by concatenating feature groups over time and using LDA to choose the most discriminant elements. At the model level, a late fusion of differently trained models can be carried out by a log-linear model combination. In this paper, we investigate these three combination techniques ... : {"references": ["A. Sixtus, S. Molau, S. Kanthak, R. Schl\u251c\u255dter, and H. Ney, \"Recent\nImprovements of the RWTH Large Vocabulary Speech Recognition\nSystem on Spontaneous Speech,\" in Proc. Int. Conf. On Acoustics,\nSpeech and Signal Processing, Istanbul, Turkey, 2000, pp. 1671-1674.", "J. L\u00f6\u00f6f, M. Bisani, C. Gollan, G. Heigold, B. Hoffmeister, Ch. Plahl, R.\nSchl\u251c\u255dter, and H. Ney, \"The 2006 RWTH Parliamentary Speeches\nTranscription System\" in Proceedings of the 9th International\nConference on Spoken Language Processing (ICSLP 2006), vol. 2,\nPittsburgh, PA, 2006, pp. 105-108.", "C. Neidle, J. Kegl, D. MacLaughlin, B. Bahan, and R.G. Lee, The Syntax\nof American Sign Language: Functional Categories and Hierarchical\nStructure. Cambridge, MA: MIT Press, 2000.", "D. Keysers, T. Deselaers, and H. Ney, \"Pixel-to-Pixel Matching for\nImage Recognition using Hungarian Graph Matching,\" in DAGM 2004,\nPattern Recognition, 26th DAGM Symposium, 2004, Lecture Notes in\nComputer ...
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Keyword:
American sign language; appearance-based features; Feature combination; Sign language recognition
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URL: https://dx.doi.org/10.5281/zenodo.1055812
https://zenodo.org/record/1055812
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Using Different Aspects Of The Signings For Appearance-Based Sign Language Recognition ...
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