Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

@inproceedings{Li2018CooccurrenceFL,
  title={Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation},
  author={Chao Li and Qiaoyong Zhong and Di Xie and Shiliang Pu},
  booktitle={IJCAI},
  year={2018}
}
Skeleton-based human action recognition has recently drawn increasing attentions with the availability of large-scale skeleton datasets. The most crucial factors for this task lie in two aspects: the intra-frame representation for joint co-occurrences and the inter-frame representation for skeletons’ temporal evolutions. In this paper we propose an end-to-end convolutional co-occurrence feature learning framework. The co-occurrence features are learned with a hierarchical methodology, in which… CONTINUE READING