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1
Ghost Towns: Semantically Labelled Object Removal From Video
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2
Weakly Supervised Training of a Sign Language Recognition System Using Multiple Instance Learning Density Matrices
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3
A person independent system for recognition of hand postures used in sign language
Abstract: We present a novel user independent framework for representing and recognizing hand postures used in sign language. We propose a novel hand posture feature, an eigenspace Size Function, which is robust to classifying hand postures independent of the person performing them. An analysis of the discriminatory properties of our proposed eigenspace Size Function shows a significant improvement in performance when compared to the original unmodified Size Function. We describe our support vector machine based recognition framework which uses a combination of our eigenspace Size Function and Hu moments features to classify different hand postures. Experiments, based on two different hand posture data sets, show that our method is robust at recognizing hand postures independent of the person performing them. Our method also performs well compared to other user independent hand posture recognition systems.
URL: http://mural.maynoothuniversity.ie/8289/
http://mural.maynoothuniversity.ie/8289/1/JM-Person-2010.pdf
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4
Evaluation of Threshold Model HMMs and Conditional Random Fields for Recognition of Spatiotemporal Gestures in Sign Language
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5
Recognizing Spatiotemporal Gestures and Movement Epenthesis in Sign Language
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6
Continuous recognition of motion based gestures in sign language
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7
Automatic Recognition of Head Movement Gestures in Sign Language Sentences
Kelly, Daniel; Reilly Delannoy, Jane; McDonald, John. - : Dept. of Computer Science, National University of Ireland, Maynooth, 2009
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8
A Framework for Continuous Multimodal Sign Language Recognition
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9
Incorporating Facial Features into a Multi-Channel Gesture Recognition System for the Interpretation of Irish Sign Language Sequences
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10
Analysis of Sign Language Gestures Using Size Functions and Principal Component Analysis
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11
A system for teaching sign language using live gesture feedback
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