How Far are We from Solving Pedestrian Detection?

  title={How Far are We from Solving Pedestrian Detection?},
  author={Shanshan Zhang and Rodrigo Benenson and Mohamed Omran and Jan Hendrik Hosang and Bernt Schiele},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
Encouraged by the recent progress in pedestrian detection, we investigate the gap between current state-of-the-art methods and the "perfect single frame detector". We enable our analysis by creating a human baseline for pedestrian detection (over the Caltech dataset), and by manually clustering the recurrent errors of a top detector. Our results characterise both localisation and background-versusforeground errors. To address localisation errors we study the impact of training annotation noise… CONTINUE READING
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