2022 Fiscal Year Annual Research Report
Audio-visual learning in neural network for elderly surveillance
| Project/Area Number |
19K20335
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| Research Institution | National Institute of Advanced Industrial Science and Technology |
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Principal Investigator |
Gatto Bernardo 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 産総研特別研究員 (10826267)
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| Project Period (FY) |
2019-04-01 – 2023-03-31
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| Keywords | elderly surveillance / subspace representation / image recognition / deep learning |
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| Outline of Annual Research Achievements |
Motivated by applications of subspace analysis, two new groups of methods were presented in this project: (1) Shallow networks for image classification; and (2) Subspaces for tensor representation and classification. New representations are proposed to preserve the spatial structure and maintain a fast processing time. A new method to keep the temporal structure was also given.
These solutions were evaluated over problems involving person detection, action, and gesture representation. We focused on the fusion of visual and acoustic data to support the safe life of the elderly living alone.
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