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How Far are We from Solving Pedestrian Detection?

CVPR, (2016): 1259-1267

Cited by: 406|Views144
EI

Abstract

Encouraged by the recent progress in pedestrian detection, we investigate the gap between current state-of-the-art methods and the perfect single frame 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 cha...More

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