Upper Body Detection and Tracking in Extended Signing Sequences

  title={Upper Body Detection and Tracking in Extended Signing Sequences},
  author={Patrick Buehler and Mark Everingham and Daniel P. Huttenlocher and Andrew Zisserman},
  journal={International Journal of Computer Vision},
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 configurations… CONTINUE READING
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