Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis

@article{Iosifidis2013MultiviewAR,
  title={Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis},
  author={Alexandros Iosifidis and Anastasios Tefas and Ioannis Pitas},
  journal={Signal Processing},
  year={2013},
  volume={93},
  pages={1445-1457}
}
In this paper, we present a view-independent action recognition method exploiting a low computational-cost volumetric action representation. Binary images depicting the human body during action execution are accumulated in order to produce the so-called action volumes. A novel time-invariant action representation is obtained by exploiting the circular shift invariance property of the magnitudes of the Discrete Fourier Transform coefficients. The similarity of an action volume with… CONTINUE READING
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Cross-Domain Human Action Recognition

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