Patent ID: 9141883
Filing Date: 2015-09-22
Classification: G06F,G06K

Abstract:
1. A method for supporting to collect at least one hard negative image to increase object detection rates or object recognition rates, comprising the steps of: (a) a hard negative proposer transmitting to a classifier for classifying a target object at least one hard negative image candidate corresponding to a certain label candidate or a specific label candidate judged to have a semantic relationship or a visual relationship with the target object by referring to information on the target object to thereby allow the classifier to classify the hard negative image candidate; and (b) the hard negative proposer selecting an additional label candidate whose similarity to the certain label candidate or the specific label candidate is determined to exceed a preset degree of similarity by referring to a similarity map including information on at least either semantic or visual similarity among multiple labels, if a percentage or a number of the hard negative image candidate mistaken for having the target object is judged to satisfy a prefixed condition as the result of the classification of the hard negative image candidate by the classifier, and transmitting at least one additional hard negative image candidate corresponding to the selected additional label candidate to thereby allow the classifier to classify the additional hard negative image candidate.