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APPARATUS AND METHOD FOR LEARNING ON THE BASIS OF ADABOOST ALGORITHM

机译:基于ADABOOST算法的学习装置和方法

摘要

The present invention discloses learning apparatus and method based on an Adaboost algorithm. The learning method based on an Adaboost algorithm according to an aspect of the present invention includes the following steps: dividing a train data group including a plurality of positive images with a detection target and a plurality of negative images having no detection target into N partial groups; extracting M upper characteristic points having a relatively great detection rate of the detection target from an initial characteristic group by performing learning based on an Adaboost algorithm with respect to each partial group; and extracting a plurality of final characteristic points having a relatively great detection rate from the extracted NM characteristic points.
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基于Adaboost算法的学习方法包括以下步骤:将包括具有检测目标的多个正图像和没有检测目标的多个负图像的列车数据组划分为N个部分组。 ;通过基于Adaboost算法对每个部分组进行学习,从初始特征组中提取出检测目标的检测率较高的M个特征点。从提取的NM个特征点中提取出检测率相对较高的多个最终特征点。

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