Beyond sliding windows: Object localization by efficient subwindow search

@article{Lampert2008BeyondSW,
  title={Beyond sliding windows: Object localization by efficient subwindow search},
  author={Christoph H. Lampert and Matthew B. Blaschko and Thomas Hofmann},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2008},
  pages={1-8}
}
  • Christoph H. Lampert, Matthew B. Blaschko, Thomas Hofmann
  • Published 2008
  • Computer Science
  • 2008 IEEE Conference on Computer Vision and Pattern Recognition
  • Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location. To perform localization, one can take a sliding window approach, but this strongly increases the computational cost, because the classifier function has to be evaluated over a large set of candidate subwindows. In this paper, we propose a simple yet powerful branch-and-bound scheme that allows efficient maximization… CONTINUE READING
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