• Corpus ID: 209324730

Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition

@article{Yang2017DevelopingTP,
  title={Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition},
  author={Weixin Yang and Terry Lyons and Hao Ni and Cordelia Schmid and Lianwen Jin},
  journal={arXiv: Computer Vision and Pattern Recognition},
  year={2017}
}
Landmark-based human action recognition in videos is a challenging task in computer vision. One key step is to design a generic approach that generates discriminative features for the spatial structure and temporal dynamics. To this end, we regard the evolving landmark data as a high-dimensional path and apply non-linear path signature techniques to provide an expressive, robust, non-linear, and interpretable representation for the sequential events. We do not extract signature features from… 
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