Towards Reaching Human Performance in Pedestrian Detection.
IEEE Transactions on Pattern Analysis and Machine Intelligence(2018)
摘要
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 pedestrian dataset). After manually clustering the frequent errors of a top detector, we characterise both localisation and background-versus...
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关键词
Detectors,Benchmark testing,Training,Feature extraction,Training data,Proposals,Mobile communication
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