Context and locality constrained linear coding for human action recognition

@article{Tian2015ContextAL,
  title={Context and locality constrained linear coding for human action recognition},
  author={Yi Tian and Qiuqi Ruan and Gaoyun An and Wanru Xu},
  journal={Neurocomputing},
  year={2015},
  volume={167},
  pages={359-370}
}
Bag of Words (BOW) method with spatio-temporal local features has achieved great performance in human action recognition. However, most of the existing BOW approaches based on vector quantization (VQ) neglect the contextual information of each descriptor, and suffer serious quantization error. There are two main reasons for these: in the first, each local feature is only assigned to one label and second, the information about the spatial layout of the features is disregarded. In this paper, we… CONTINUE READING

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