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method of adaptive object extraction by feature element learning object dependent

机译:特征元学习的目标依赖型自适应目标提取方法

摘要

The present invention relates to an object-dependent features cattle, more particularly, to extract the object to extract a more accurate object by learning an object-dependent characteristic small in the video image for search video method according to the adaptive object extraction method according to the study .; If the object extraction method using a conventional general features small it is difficult to accurately extract the object time also takes long, using object-dependent characteristic cattle has the characteristic minimum value different from itself according to the object, and therefore also different according to the environment Preview feature it is difficult to define the range of minimum value.; If the video or the still image frame to be extracted, type in the present invention, at first, extracts the object by using the general features small then some extent when the correct object is determined that the extraction since the learning-dependent additional feature of small of the extracted object, the object by extracting the object, as dependent more predetermined characteristics, the objects in the video image to more accurately extract the desired object-dependent characteristic to provide an adaptive object extraction method according to predetermined learning.
机译:本发明涉及一种与物体有关的特征牛,更具体地说,是根据根据本发明的自适应物体提取方法,通过学习用于搜索视频方法的视频图像中小的物体相关特征来提取物体以提取更精确的物体。研究 。;如果使用常规常规特征的对象提取方法较小,则难以准确地提取对象时间也很费时,使用依赖于对象的特征牛的特征最小值根据对象而不同,因此根据对象也不同。环境预览功能很难定义最小值范围。如果要提取的视频或静止图像帧,则首先在本发明中键入,通过使用较小的一般特征来提取对象,然后在一定程度上确定正确的对象是提取对象,这是因为依赖于学习的附加特征。通过提取较小的对象,通过提取对象作为更依赖于对象的预定特性,视频图像中的对象可以更准确地提取所需的对象依赖特性,从而提供根据预定学习的自适应对象提取方法。

著录项

  • 公开/公告号KR100350790B1

    专利类型

  • 公开/公告日2002-08-28

    原文格式PDF

  • 申请/专利权人 엘지전자 주식회사;

    申请/专利号KR19990002016

  • 发明设计人 김현준;이진수;

    申请日1999-01-22

  • 分类号H04N7/26;

  • 国家 KR

  • 入库时间 2022-08-22 00:29:27

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