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Upper Body Detection and Tracking in Extended Signing Sequences
Authors:Patrick Buehler  Mark Everingham  Daniel P Huttenlocher  Andrew Zisserman
Affiliation:1.Department of Engineering Science,University of Oxford,Oxford,UK;2.School of Computing,University of Leeds,Leeds,UK;3.Computer Science Department,Cornell University,Cornell,USA
Abstract: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.
Keywords:
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