| 000 | 03114nam a22005655i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-40991-7 | ||
| 003 | DE-He213 | ||
| 005 | 20180206182937.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160908s2016 gw | s |||| 0|eng d | ||
| 020 |
_a9783319409917 _9978-3-319-40991-7 |
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| 050 | 4 | _aTA1637-1638 | |
| 050 | 4 | _aTA1634 | |
| 072 | 7 |
_aUYT _2bicssc |
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| 072 | 7 |
_aUYQV _2bicssc |
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| 072 | 7 |
_aCOM012000 _2bisacsh |
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| 072 | 7 |
_aCOM016000 _2bisacsh |
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| 082 | 0 | 4 |
_a006.6 _223 |
| 082 | 0 | 4 |
_a006.37 _223 |
| 100 | 1 |
_aWu, Ziyan. _eauthor. |
|
| 245 | 1 | 0 |
_aHuman Re-Identification _h[recurso electrónico] / _cby Ziyan Wu. |
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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| 300 |
_aXV, 104 p. 40 illus. _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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| 490 | 1 | _aMultimedia Systems and Applications | |
| 505 | 0 | _aThe Problem of Human re-identification -- Features and Signatures -- Multi-Object Tracking -- Surveillance Camera and its Calibration -- Calibrating a Surveillance Camera Network -- Learning Viewpoint Invariant Signatures -- Learning Subject-Discriminative Features -- Dimension Reduction with Random Projections -- Sample Selection for Multi-shot Human Reidentification -- Conclusions and Future Work. | |
| 520 | _aThis book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement. This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable. | ||
| 650 | 0 | _aComputer science. | |
| 650 | 0 | _aComputer communication systems. | |
| 650 | 0 | _aMultimedia information systems. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 0 | _aImage processing. | |
| 650 | 1 | 4 | _aComputer Science. |
| 650 | 2 | 4 | _aImage Processing and Computer Vision. |
| 650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
| 650 | 2 | 4 | _aMultimedia Information Systems. |
| 650 | 2 | 4 | _aComputer Communication Networks. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer eBooks | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319409900 |
| 830 | 0 | _aMultimedia Systems and Applications | |
| 856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-40991-7 |
| 912 | _aZDB-2-SCS | ||
| 942 | _cLIBRO_ELEC | ||
| 999 |
_c225527 _d225527 |
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