Characterizing Humans on Riemannian Manifolds

@article{Tosato2013CharacterizingHO,
  title={Characterizing Humans on Riemannian Manifolds},
  author={Diego Tosato and Mauro Spera and Marco Cristani and Vittorio Murino},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={1972-1984}
}
In surveillance applications, head and body orientation of people is of primary importance for assessing many behavioral traits. Unfortunately, in this context people are often encoded by a few, noisy pixels so that their characterization is difficult. We face this issue, proposing a computational framework which is based on an expressive descriptor, the covariance of features. Covariances have been employed for pedestrian detection purposes, actually a binary classification problem on… CONTINUE READING
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