Action Recognition with Stacked Fisher Vectors

@inproceedings{Peng2014ActionRW,
  title={Action Recognition with Stacked Fisher Vectors},
  author={Xiaojiang Peng and Changqing Zou and Yu Qiao and Qiang Peng},
  booktitle={ECCV},
  year={2014}
}
Representation of video is a vital problem in action recognition. This paper proposes Stacked Fisher Vectors (SFV), a new representation with multi-layer nested Fisher vector encoding, for action recognition. In the first layer, we densely sample large subvolumes from input videos, extract local features, and encode them using Fisher vectors (FVs). The second layer compresses the FVs of subvolumes obtained in previous layer, and then encodes them again with Fisher vectors. Compared with… CONTINUE READING
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