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160908s2016 gw | s |||| 0|eng d |
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|a 9783319409917
|9 978-3-319-40991-7
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|a 10.1007/978-3-319-40991-7
|2 doi
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|a TA1630-1650
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|a Wu, Ziyan.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Human Re-Identification
|h [electronic resource] /
|c by Ziyan Wu.
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| 250 |
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|a 1st ed. 2016.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XV, 104 p. 40 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Multimedia Systems and Applications
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|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.
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| 520 |
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|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.
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| 650 |
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|a Optical data processing.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Multimedia information systems.
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| 650 |
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|a Computer communication systems.
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|a Image Processing and Computer Vision.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I22021
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|a Artificial Intelligence.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I21000
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| 650 |
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|a Multimedia Information Systems.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I18059
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| 650 |
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|a Computer Communication Networks.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I13022
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| 710 |
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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| 776 |
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|i Printed edition:
|z 9783319409900
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| 776 |
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|i Printed edition:
|z 9783319409924
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| 776 |
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|i Printed edition:
|z 9783319822358
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| 830 |
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|a Multimedia Systems and Applications
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| 856 |
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|u https://doi.org/10.1007/978-3-319-40991-7
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
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