The goal of this work is to detect and track the articulated pose of a human in signing videos of more than one hour in length. In particular we wish to accurately localise hands and arms, despite fast motion and a cluttered and changing background.
We cast the problem as inference in a generative model of the image, and propose a complete model which accounts for self-occlusion of the arms. Under this model, limb detection is expensive due to the very large number of possible config...Expand abstract
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- Peer reviewed
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- Springer Science + Business Media, LLC.
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Upper body detection and tracking in extended signing sequences
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