| 000 | 02831nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-27004-3 | ||
| 003 | DE-He213 | ||
| 005 | 20200421111849.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 151223s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319270043 _9978-3-319-27004-3 |
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| 024 | 7 |
_a10.1007/978-3-319-27004-3 _2doi |
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| 050 | 4 | _aTK5102.9 | |
| 050 | 4 | _aTA1637-1638 | |
| 050 | 4 | _aTK7882.S65 | |
| 072 | 7 |
_aTTBM _2bicssc |
|
| 072 | 7 |
_aUYS _2bicssc |
|
| 072 | 7 |
_aTEC008000 _2bisacsh |
|
| 072 | 7 |
_aCOM073000 _2bisacsh |
|
| 082 | 0 | 4 |
_a621.382 _223 |
| 245 | 1 | 0 |
_aHuman Activity Recognition and Prediction _h[electronic resource] / _cedited by Yun Fu. |
| 250 | _a1st ed. 2016. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
| 300 |
_aVII, 174 p. 70 illus., 6 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 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 | _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. . | ||
| 650 | 0 | _aEngineering. | |
| 650 | 0 | _aImage processing. | |
| 650 | 0 | _aBiometrics (Biology). | |
| 650 | 1 | 4 | _aEngineering. |
| 650 | 2 | 4 | _aSignal, Image and Speech Processing. |
| 650 | 2 | 4 | _aImage Processing and Computer Vision. |
| 650 | 2 | 4 | _aBiometrics. |
| 700 | 1 |
_aFu, Yun. _eeditor. |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319270029 |
| 856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-27004-3 |
| 912 | _aZDB-2-ENG | ||
| 942 | _cEBK | ||
| 999 |
_c55980 _d55980 |
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