Discriminative convolutional Fisher vector network for action recognition

19 Jul 2017Petar PalasekIoannis Patras

In this work we propose a novel neural network architecture for the problem of human action recognition in videos. The proposed architecture expresses the processing steps of classical Fisher vector approaches, that is dimensionality reduction by principal component analysis (PCA) projection, Gaussian mixture model (GMM) and Fisher vector descriptor extraction, as network layers... (read more)

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