| Presentation | 2011-02-18 A Study of Human Motion Recognition Based on Tensor Decomposition using a Multiple Viewpoint Image Sequence Takayuki HORI, Jun OHYA, Jun KURUMISAWA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a Tensor Decomposition based algorithm that recognizes the observed action performed by an unknown person and unknown viewpoint not included in the database. Our previous research aimed motion recognition from one single viewpoint. In this paper, we extend our approach for human motion recognition from an arbitrary viewpoint. To achieve this issue, we set tensor database which are multi-dimensional vectors with dimensions corresponding to human models, viewpoint angles, and action classes. The value of a tensor for a given combination of human silhouette model, viewpoint angle, and action class is the series of mesh feature vectors calculated each frame sequence. To recognize human motion, the actions of one of the persons in the tensor are replaced by the synthesized actions. Then, the core tensor for the replaced tensor is computed. This process is repeated for each combination of action, person, and viewpoint. For each iteration, the difference between the replaced and original core tensors is computed. The assumption that gives the minimal difference is the action recognition result. The recognition results show the validity of our proposed method, the method is experimentally compared with Nearest Neighbor rule. Our proposed method is very stable as each action was recognized with over 75% accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Tensor Decomposition / Action Recognition / Motion Signature / Arbitrary Viewpoint |
| Paper # | PRMU2010-230 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/2/10(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) | A Study of Human Motion Recognition Based on Tensor Decomposition using a Multiple Viewpoint Image Sequence |
| Sub Title (in English) | |
| Keyword(1) | Tensor Decomposition |
| Keyword(2) | Action Recognition |
| Keyword(3) | Motion Signature |
| Keyword(4) | Arbitrary Viewpoint |
| 1st Author's Name | Takayuki HORI |
| 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 | Jun KURUMISAWA |
| 3rd Author's Affiliation | Dept. of Policy Informatics, Chiba University of Commerce |
| Date | 2011-02-18 |
| Paper # | PRMU2010-230 |
| Volume (vol) | vol.110 |
| Number (no) | 414 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |