RGB-D Action Recognition Using Multimodal Correlative Representation Learning Model

@article{Liu2019RGBDAR,
  title={RGB-D Action Recognition Using Multimodal Correlative Representation Learning Model},
  author={Tianshan Liu and Jun Kong and Min Jiang},
  journal={IEEE Sensors Journal},
  year={2019},
  volume={19},
  pages={1862-1872}
}
The launching of low-cost depth sensors opens up new potentials for RGB-D-based human action recognition. However, most of current RGB-D-based methods simply fuse multimodal features in a holistic manner and ignore the latent connections among different modalities. In this paper, we propose a multimodal correlative representation learning (MCRL) model for human action recognition from RGB-D videos. Specifically, we propose a spatio-temporal pyramid Fourier HOG feature (STPF-HOG) to capture… CONTINUE READING

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