Action Recognition in Videos Using Nonnegative Tensor Factorization

  title={Action Recognition in Videos Using Nonnegative Tensor Factorization},
  author={Barbara Krausz and Christian Bauckhage},
  journal={2010 20th International Conference on Pattern Recognition},
Recognizing human actions is of vital interest in video surveillance or ambient assisted living. We consider an action as a sequence of body poses which are themselves a linear combination of body parts. In an offline procedure, nonnegative tensor factorization is used to extract basis images that represent body parts. The weighting coefficients are obtained by filtering a frame with the set of basis images. Since the basis images are obtained from nonnegative tensor factorization, they are… CONTINUE READING
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