Depth-based Gait Feature Representation

• Nakajima Hozuma

  The Institute of Scientific and Industrial Research, Osaka University

• Mitsugami Ikuhisa

  The Institute of Scientific and Industrial Research, Osaka University

• Yagi Yasushi

  The Institute of Scientific and Industrial Research, Osaka University

抄録

This paper proposes a novel gait feature representation that well describes characteristics of a walking person from the perspective of a range sensor. Most existing methods for gait feature extraction use a sequence of his/her silhouette as their input, so that they inevitably suffer from the difficulty of silhouette extraction in real scenes and change of view direction, which prevent them from being applied in practice. The proposed method, on the other hand, does not require such accurate segmentation, and is not affected by view change since captured range data has three-dimensional information. In addition, our method can explicitly separate dynamic feature from a static one, e.g., body shape, which have never been realized. Experimental results of gait authentication show its effectiveness.

収録刊行物

• Information and Media Technologies

  Information and Media Technologies 8 (4), 1085-1089, 2013

  Information and Media Technologies 編集運営会議

キーワード

• gait
• feature extraction
• range data
• authentication

詳細情報

• CRID: 1390001205264018176
• NII論文ID: 130003384040
• DOI: 10.11185/imt.8.1085
• ISSN: 18810896
• 本文言語コード: en
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可