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Human Re-Identification
This 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 buildin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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| Edición: | 1st ed. 2016. |
| Colección: | Multimedia Systems and Applications,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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|---|---|---|---|
| 001 | 978-3-319-40991-7 | ||
| 003 | DE-He213 | ||
| 005 | 20220311204927.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 160908s2016 sz | s |||| 0|eng d | ||
| 020 | |a 9783319409917 |9 978-3-319-40991-7 | ||
| 024 | 7 | |a 10.1007/978-3-319-40991-7 |2 doi | |
| 050 | 4 | |a TA1634 | |
| 072 | 7 | |a UYQV |2 bicssc | |
| 072 | 7 | |a COM012000 |2 bisacsh | |
| 072 | 7 | |a UYQV |2 thema | |
| 082 | 0 | 4 | |a 006.37 |2 23 |
| 100 | 1 | |a Wu, Ziyan. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Human Re-Identification |h [electronic resource] / |c by Ziyan Wu. |
| 250 | |a 1st ed. 2016. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2016. | |
| 300 | |a XV, 104 p. 40 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Multimedia Systems and Applications, |x 2945-5715 | |
| 505 | 0 | |a The 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 | |a This 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 | |a Computer vision. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Multimedia systems. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 1 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Multimedia Information Systems. |
| 650 | 2 | 4 | |a Computer Communication Networks. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319409900 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319409924 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319822358 |
| 830 | 0 | |a Multimedia Systems and Applications, |x 2945-5715 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-40991-7 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||