Fine-grained Activity Recognition with Holistic and Pose based Features

@inproceedings{Pishchulin2014FinegrainedAR,
  title={Fine-grained Activity Recognition with Holistic and Pose based Features},
  author={Leonid Pishchulin and Mykhaylo Andriluka and Bernt Schiele},
  booktitle={GCPR},
  year={2014}
}
Holistic methods based on dense trajectories [29, 30] are currently the de facto standard for recognition of human activities in video. Whether holistic representations will sustain or will be superseded by higher level video encoding in terms of body pose and motion is the subject of an ongoing debate [12]. In this paper we aim to clarify the underlying factors responsible for good performance of holistic and posebased representations. To that end we build on our recent dataset [2] leveraging… CONTINUE READING
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