Presentation | 2015-03-20 Study of Early Event Recognition Based on 3D Positions of Joints of Human Bodies : Utilizing Skeletons Based on Relative Positions of Joints of Human Bodies in a Lie Group and Max-Margin Early Event Detectors Naotomo TATEMATSU, Jun OHYA, Larry S. DAVIS, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method for detecting early events by utilizing 3D Positions of Joints of Human Bodies in RGB and Depth (RGBD) image sequences acquired by Kinect[○!C]. Our method incorporates features based on relative positions of joints of human bodies in a Lie Group into the max-margin early event detectors. Experiments using multiple human actions in real color and depth image sequences demonstrate the effectiveness of our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Kinect / Early Event Detection / MMED / Skelton |
Paper # | BioX2014-77,PRMU2014-197 |
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Committee | PRMU |
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Conference Date | 2015/3/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Study of Early Event Recognition Based on 3D Positions of Joints of Human Bodies : Utilizing Skeletons Based on Relative Positions of Joints of Human Bodies in a Lie Group and Max-Margin Early Event Detectors |
Sub Title (in English) | |
Keyword(1) | Kinect |
Keyword(2) | Early Event Detection |
Keyword(3) | MMED |
Keyword(4) | Skelton |
1st Author's Name | Naotomo TATEMATSU |
1st Author's Affiliation | Graduate School of Global Information and Telecommunication Studies, Waseda University() |
2nd Author's Name | Jun OHYA |
2nd Author's Affiliation | Graduate School of Global Information and Telecommunication Studies, Waseda University |
3rd Author's Name | Larry S. DAVIS |
3rd Author's Affiliation | University of Maryland |
Date | 2015-03-20 |
Paper # | BioX2014-77,PRMU2014-197 |
Volume (vol) | vol.114 |
Number (no) | 521 |
Page | pp.pp.- |
#Pages | 6 |
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