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Decreasing the Number of Features for Improving Human Action Classification.

Kleber Jacques Ferreira de SouzaArnaldo de Albuquerque AraújoZenilton Kleber G. do Patrocínio Jr.Jean CoustyLaurent NajmanYukiko KenmochiSilvio Jamil Ferzoli Guimarães
Published in: SIBGRAPI (2016)
Keyphrases
  • action classification
  • computer vision
  • feature space
  • machine learning
  • feature extraction
  • low level
  • image features
  • action recognition
  • static images
  • global features