3D Convolutional Neural Networks for Human Action Recognition

@article{Ji20133DCN,
  title={3D Convolutional Neural Networks for Human Action Recognition},
  author={S. Ji and W. Xu and Ming Yang and Kai Yu},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2013},
  volume={35},
  pages={221-231}
}
  • S. Ji, W. Xu, +1 author Kai Yu
  • Published 2013
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • We consider the automated recognition of human actions in surveillance videos. [...] Key Method This model extracts features from both the spatial and the temporal dimensions by performing 3D convolutions, thereby capturing the motion information encoded in multiple adjacent frames. The developed model generates multiple channels of information from the input frames, and the final feature representation combines information from all channels.Expand Abstract
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