Upper Body Detection and Tracking in Extended Signing Sequences

@article{Buehler2011UpperBD,
  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},
  year={2011},
  volume={95},
  pages={180-197}
}
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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