Art
J-GLOBAL ID:201802217160576558
Reference number:18A0315153
Development of the System to identify Joints of Target
物体の動作から関節を識別するシステムの開発
Author (2):
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Material:
Volume:
2018
Issue:
CH-116
Page:
Vol.2018-CH-116,No.18,1-4 (WEB ONLY)
Publication year:
Jan. 20, 2018
JST Material Number:
U0451A
Document type:
Proceedings
Article type:
原著論文
Country of issue:
Japan (JPN)
Language:
JAPANESE (JA)
Thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (1):
JST classification
Category name(code) classified by JST.
Pattern recognition
Reference (7):
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W.Zeng : Microsoft Kinect Sensor and Its Effect, Multimedia at Work (2012)
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A.G.Kirk and J.F.O’Brien,D.A.Forsyth : Skeltal Parameter Estimation from Optical Motion Capture Data, LComputer Vision and Pattern Recognition (2005).
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Leo Miyashita, Ryota Yonezawa, Yoshihiro Watanabe, Masatoshi Ishikawa: 3D Motion Sensing of any Object without Prior Knowledge, ACM Transactions on Graphics, Vol. 34, No. 6, Article 218 (2015).
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S.Rautaray and M.Pandey: Performance Analysis of Vision based Adaptive Hand Gesture Recognition System for Human Computer Interaction, ACM New York (2014).
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W.Shen and K.Zhao, Y.Jiang, Y.Wang, Z.Zhang, X.Bai: Object Skeleton Extraction in Natural Images by Fusing Sale-Associated Deep Side Outputs, Computer Vision and Pattern Recgnition(CVPR), 2016 IEEE Conference on (2016).
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Terms in the title (4):
Terms in the title
Keywords automatically extracted from the title.
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