速度に基づく切り出しとクラスタリングによる基本動作の抽出

• 大崎 竜太

  神戸大学大学院自然科学研究科

• 嶋田 光臣

  神戸大学大学院自然科学研究科

• 上原 邦昭

  神戸大学都市安全研究センター

書誌事項

タイトル別名

• Extraction of Primitive Motions by Using Clustering and Segmentation of Motion-Captured Data
• ソクド ニ モトズク キリダシ ト クラスタリング ニ ヨル キホン ドウサ ノ チュウシュツ

抄録

Content-based retrieval of multimedia information has been investigated in several research projects. In this paper, we will focus on the automatic indexing method of motion information. Automatic indexing is performed in a pattern matching approach. Reference patterns are necessary for pattern matching, so that we will propose two methods to define primitive motions as reference patterns. One method divides motion data into segmental motion data by detecting the change of motion speed. The other classifies segmental motions such that similar segmental motions are gathered in the same cluster by nearest neighbor algorithm. In order to evaluate the similarity between two segmental motions, we use the dynamic time warping(DTW)method because each segmental motion takes different time length even if one person performed the same motions. Motion data can be converted into symbol sequences which represent primitive motions. Then continuous dynamic programming(CDP)method is used to recognize contents of motion. CDP is one of the extensions of DTW. It makes us possible to recognize a motion even if it is complex. At last, we use a bagging approach to merge the two similar clusters which have same primitive motions.

収録刊行物

• 人工知能

  人工知能 15 (5), 878-886, 2000-09-01

  一般社団法人 人工知能学会

キーワード

• motion recognition
• content-based retrival
• primitive motion
• dynamic time warping
• bagging

詳細情報

• CRID: 1390567172579355776
• NII論文ID: 10016796857
• NII論文ID: 110002808331
• NII書誌ID: AN10067140
• ISSN: 09128085
• ISSN: 24358614
• ISSN: 21882266
• DOI: 10.11517/jjsai.15.5_878
• NDL書誌ID: 5463862
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I5463862
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可