SBGAR: Semantics Based Group Activity Recognition

@article{Li2017SBGARSB,
  title={SBGAR: Semantics Based Group Activity Recognition},
  author={Xin Li and Mooi Choo Chuah},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={2895-2904}
}
Activity recognition has become an important function in many emerging computer vision applications e.g. automatic video surveillance system, human-computer interaction application, and video recommendation system, etc. In this paper, we propose a novel semantics based group activity recognition scheme, namely SBGAR, which achieves higher accuracy and efficiency than existing group activity recognition methods. SBGAR consists of two stages: in stage I, we use a LSTM model to generate a caption… CONTINUE READING

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