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| 040 | _aES-MaUEC | ||
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_aQ325.5 _bH863 2016 |
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| 082 | 0 | 4 | _a621.382 |
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_aHuman Activity Recognition and Prediction _cedited by Yun Fu |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (VII, 174 páginas) _b70 ilustraciones, 6 ilustraciones en color |
||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 505 | 0 | _aIntroduction -- Action and Activities -- Action Recognition and Human Interaction -- Multimodal Action Recognition -- RGB-D Action Recognition -- Actionlets and Activity Prediction -- Time Series Modeling for Activity Prediction -- RGB-D Action Prediction. | |
| 520 | 3 | _aThis book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. . | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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_aBiometría _0 _2embne _9139105 |
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_aFu, Yun _eeditor literario _0Local _998109 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-27004-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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