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  • 标题:Classification of a two-dimensional pose using a human skeleton
  • 本地全文:下载
  • 作者:Marina Pismenskova ; Oxana Balabaeva ; Viacheslav Voronin
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:132
  • 页码:1-4
  • DOI:10.1051/matecconf/201713205016
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:This article proposes an approach for the human pose recognition based on to preliminary prepared high-level data of the human skeleton. The coordinates of the feature points on the human skeleton is constructed by using a neural network. In the presented method, the coordinates of the feature points are a normalized relative of the human body height and the centre of gravity. We use these data for training the neural network.
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