Vision-based Sign Language Processing Using a Predictive Approach and Linguistic Knowledge
نویسندگان
چکیده
The study of sign languages provides a wide field of applications for computer vision systems, but the analysis of such gestures often leads to complex 3D reconstructions or to ambiguities. In this paper, we describe the architecture of an image analysis system that performs sign language analysis by using a prediction/verification approach. The system integrates a model of the sign language’s structure and uses it during analysis to predict visual events enabling simple 2D features to be used to determine whether the images corroborate the prediction or not.
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