An Integrated Tracking And Recognition Approach For Video
نویسندگان
چکیده
This diploma thesis investigates integrated tracking and recognition in continuous sign language recogntion as well as efficient approximations to it. Current state-of-the art sign language recognition system use tracking only as a preprocessing step. Hence, tracking errors lead to recognition errors. We propose to integrate scoring functions of a model-free dynamic programming tracking framework into the visual models of a continuous sign language recognition system. The proposed integrated system as well as approximations to it are evaluated on a publicly available benchmark database for American Sign Language.
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