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Histograms of Oriented Gradients for Human Detection

this augmented set (initial 12180 + hard examples) to pro-duce the nal detector. The set of hard examples is subsam-pled if necessary, so that the descriptors of the nal training set t into 1.7 Gb of RAM for SVM training. This retrain-ing process signicantly improves the performance of each detector (by 5% at 10 4 False Positives Per Window tested

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