Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition

@article{Mathe2015ActionsIT,
  title={Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition},
  author={Stefan Mathe and Cristian Sminchisescu},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2015},
  volume={37},
  pages={1408-1424}
}
Systems based on bag-of-words models from image features collected at maxima of sparse interest point operators have been used successfully for both computer visual object and action recognition tasks. While the sparse, interest-point based approach to recognition is not inconsistent with visual processing in biological systems that operate in `saccade and fixate' regimes, the methodology and emphasis in the human and the computer vision communities remains sharply distinct. Here, we make three… CONTINUE READING
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Looking and Acting

  • M. F. Land, B. W. Tatler
  • 2009
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