Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition

@inproceedings{Mathe2012DynamicEM,
  title={Dynamic Eye Movement Datasets and Learnt Saliency Models for Visual Action Recognition},
  author={Stefan Mathe and Cristian Sminchisescu},
  booktitle={ECCV},
  year={2012}
}
Systems based on bag-of-words models operating on image features collected at maxima of sparse interest point operators have been extremely successful for both computer-based 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 knowledge, methodology, and emphasis in the human and the computer vision communities remains sharply… CONTINUE READING
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Chebyshev approximations to the histogram chi-square kernel

  • F. Li, L. Guy, C. Sminchisescu
  • CVPR.
  • 2012
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