The THUMOS Challenge on Action Recognition for Videos "in the Wild"

@article{Idrees2017TheTC,
  title={The THUMOS Challenge on Action Recognition for Videos "in the Wild"},
  author={Haroon Idrees and Amir Roshan Zamir and Yu-Gang Jiang and Alex Gorban and Ivan Laptev and Rahul Sukthankar and Mubarak Shah},
  journal={Computer Vision and Image Understanding},
  year={2017},
  volume={155},
  pages={1-23}
}
Automatically recognizing and localizing wide ranges of human actions are crucial for video understanding. Towards this goal, the THUMOS challenge was introduced in 2013 to serve as a benchmark for action recognition. Until then, video action recognition, including THUMOS challenge, had focused primarily on the classification of pre-segmented (i.e., trimmed) videos, which is an artificial task. In THUMOS 2014, we elevated action recognition to a more practical level by introducing temporally… CONTINUE READING
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Fencing action recognition for videos “in the wild

  • H. Idrees
  • ARTICLE IN PRESS JID: YCVIU [m5G; November
  • 2016

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