Pose Estimation of Still Images using Human Pose Guide Ontology

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  • TASHIRO Kazuhiro
    Graduate School of Information Systems, University of Electro-Communications
  • KAWAMURA Takahiro
    Graduate School of Information Systems, University of Electro-Communications
  • SEI Yuichi
    Graduate School of Information Systems, University of Electro-Communications
  • NAKAGAWA Hiroyuki
    Graduate School of Information Systems, University of Electro-Communications
  • TAHARA Yasuyuki
    Graduate School of Information Systems, University of Electro-Communications
  • OHSUGA Akihiko
    Graduate School of Information Systems, University of Electro-Communications

Bibliographic Information

Other Title
  • Human Pose Guide Ontologyを用いた静止画像内人物のポーズ分類
  • Human Pose Guide Ontology オ モチイタ セイシ ガゾウ ウチビトブツ ノ ポーズ ブンルイ

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Abstract

The preference about poses of the idol varys and there is a demand for selection of idol images according to their pose. We present an agent for classifying by the pose of idol in still images. In this work, we focus on still images of idol wearing swimsuits. For each image, we create the feature vectors such as line segments indicating size and location, orientations of ten body parts(head, torso, upper/lower arms/legs) in reference to Eichner's Stickman Pose Estimation. Moreover, in order to raise the accuracy of the classification, we propose Human Pose Guide Ontology(HPGO) to guide and constrain the feature vectors. Finally, we evaluate our approach and show its efficiency of HPGO.

Journal

  • Computer Software

    Computer Software 31 (3), 3_58-3_69, 2014

    Japan Society for Software Science and Technology

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