Depth-based Gait Feature Representation

• Item type: Trans(1)
• 公開日: 2013-07-29
• タイトル: Depth-based Gait Feature Representation
• タイトル / 言語: en
• タイトル: Depth-based Gait Feature Representation
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [Regular Paper - Express Paper] gait, feature extraction, range data, authentication
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: The Institute of Scientific and Industrial Research, Osaka University
• 著者所属: The Institute of Scientific and Industrial Research, Osaka University
• 著者所属: The Institute of Scientific and Industrial Research, Osaka University
• 著者所属(英): en
• 著者所属(英): The Institute of Scientific and Industrial Research, Osaka University
• 著者所属(英): en
• 著者所属(英): The Institute of Scientific and Industrial Research, Osaka University
• 著者所属(英): en
• 著者所属(英): The Institute of Scientific and Industrial Research, Osaka University
• 著者名: Hozuma, Nakajima; Ikuhisa, Mitsugami; Yasushi, Yagi
• 著者名(英): Hozuma, Nakajima; Ikuhisa, Mitsugami; Yasushi, Yagi
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: 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.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: 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.
• 書誌情報: IPSJ Transactions on Computer Vision and Applications （CVA）; 巻 5, p. 94-98, 発行日 2013-07-29
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-6695
• 出版者 / 言語: ja
• 出版者: 情報処理学会