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Apparatus and Method for Learning on the basis of Adaboost Algorithm

机译:基于Adaboost算法的学习装置及方法

摘要

The present invention discloses an AdaBoost algorithm-based learning apparatus and method. The learning method based on the AdaBoost algorithm by the learning apparatus according to one aspect of the present invention includes a training data set including a plurality of positive images including a detection target and a plurality of negative images not including the detection target, Dividing into a subset; Performing learning based on an Adaboost algorithm on each subset to extract upper M feature points having a relatively large detection rate of the detection object in the initial feature set; And extracting a plurality of final feature points having a relatively high detection rate from the N × M feature points extracted in the extracting step.
机译:本发明公开了一种基于AdaBoost算法的学习装置和方法。根据本发明的一个方面的学习装置基于AdaBoost算法的学习方法包括训练数据集,该训练数据集包括多个包括检测目标的正图像和多个不包括检测目标的负图像,并分为子集对每个子集进行基于Adaboost算法的学习,以提取出初始特征集中检测对象检测率较高的M个特征点;并且从在提取步骤中提取的N×M个特征点中提取具有较高检测率的多个最终特征点。

著录项

  • 公开/公告号KR101791514B1

    专利类型

  • 公开/公告日2017-10-30

    原文格式PDF

  • 申请/专利权人 재단법인대구경북과학기술원;

    申请/专利号KR20140156026

  • 发明设计人 김동영;이충희;

    申请日2014-11-11

  • 分类号G06K9/62;

  • 国家 KR

  • 入库时间 2022-08-21 13:24:36

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