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Human activity recognition and prediction
This 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 discuss...
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| Lenguaje: | eng |
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Springer
2016
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-27004-3 http://cds.cern.ch/record/2120214 |