Evolutionary joint selection to improve human action recognition with RGB-D devices

@article{Chaaraoui2014EvolutionaryJS,
  title={Evolutionary joint selection to improve human action recognition with RGB-D devices},
  author={Alexandros Andr{\'e} Chaaraoui and Jos{\'e} Ram{\'o}n Padilla-L{\'o}pez and Pau Climent-P{\'e}rez and Francisco Fl{\'o}rez-Revuelta},
  journal={Expert Syst. Appl.},
  year={2014},
  volume={41},
  pages={786-794}
}
Interest in RGB-D devices is increasing due to their low price and the wide range of possible applications that come along. These devices provide a marker-less body pose estimation by means of skeletal data consisting of 3D positions of body joints. These can be further used for pose, gesture or action recognition. In this work, an evolutionary algorithm is used to determine the optimal subset of skeleton joints, taking into account the topological structure of the skeleton, in order to improve… CONTINUE READING
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