Type-2 Fuzzy Topic Models for Human Action Recognition

@article{Cao2015Type2FT,
  title={Type-2 Fuzzy Topic Models for Human Action Recognition},
  author={Xiao-Qin Cao and Zhi-Qiang Liu},
  journal={IEEE Transactions on Fuzzy Systems},
  year={2015},
  volume={23},
  pages={1581-1593}
}
Following the “bag-of-words” representation for video sequences, we propose novel type-2 fuzzy topic models (T2 FTM) to recognize human actions. In traditional topic models (TM) for visual recognition, each video sequence is modeled as a “document” composed of spatial-temporal interest points called visual words. Topic models automatically assign a “topic” label to explain the action category of each word so that each video sequence becomes a mixture of action topics for recognition. Our T2 FTM… CONTINUE READING

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