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Poster Abstract: 3D Activity Localization With Multiple Sensors
We present a deep learning framework for fast 3D activity localization and tracking in a dynamic and crowded real world setting. Our training approach reverses the traditional activity localization approach, which first estimates the possible location of activities and then predicts their occurrence...
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| Publicado no: | IPSN |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6214452/ https://ncbi.nlm.nih.gov/pubmed/30393785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/3055031.3055057 |
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