Improving object localization using macrofeature layout selection

@article{Nam2011ImprovingOL,
  title={Improving object localization using macrofeature layout selection},
  author={Woonhyun Nam and Bohyung Han and Joon Hee Han},
  journal={2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
  year={2011},
  pages={1801-1808}
}
A macrofeature layout selection is proposed for object detection. Macrofeatures [2] are mid-level features that jointly encode a set of low-level features in a neighborhood. Our method employs line, triangle, and pyramid layouts, which are composed of several local blocks in a multi-scale feature pyramid. The method is integrated into boosting for detection, where the best layout is selected for a weak classifier at each iteration. The proposed algorithm is applied to pedestrian detection and… CONTINUE READING
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