Real-time Motion Template Gradients using Intel CVLib

@inproceedings{Davis1999RealtimeMT,
  title={Real-time Motion Template Gradients using Intel CVLib},
  author={James Davis and Gary Bradski},
  year={1999}
}
In this paper, we present an extension to the real-time motion template research for computer vision as previously developed in (Davis 1997). The underlying representation is a Motion History Image (MHI) that temporally layers consecutive image silhouettes (or motion properties) of a moving person into a single template form. Originally a global, label-based method was used for recognition. In this work, we construct a more localized motion characterization for the MHI that extracts motion… CONTINUE READING
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