How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements

@inproceedings{Kienzle2007HowTF,
  title={How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements},
  author={Wolf Kienzle and Bernhard Sch{\"o}lkopf and Felix A. Wichmann and Matthias O. Franz},
  booktitle={DAGM-Symposium},
  year={2007}
}
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful interest points. In this paper we approach the problem by learning a detector from examples: we record eye movements of human subjects watching video sequences and train a neural network to predict which locations are likely to become eye movement targets. We show that our detector outperforms current spatiotemporal… CONTINUE READING
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Active Vision: The Psychology of Looking and Seeing

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