Overview
- Covers every aspect of an end-to-end real-world human re-identification system
- Analyzes and summarizes factors of challenges, risks and uncertainties from practical computer vision applications
- Extensive evaluation and benchmarking on mainstream human re-identification algorithms and datasets
Part of the book series: Multimedia Systems and Applications (MMSA)
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Table of contents (10 chapters)
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Front Matter
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Video Surveillance and Human Re-identification
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Front Matter
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Camera Network and Infrastructures Planning
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Front Matter
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Core Analytic for Human Re-Identification
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Human Re-Identification
Authors: Ziyan Wu
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-3-319-40991-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-40990-0Published: 15 September 2016
Softcover ISBN: 978-3-319-82235-8Published: 22 April 2018
eBook ISBN: 978-3-319-40991-7Published: 08 September 2016
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XV, 104
Number of Illustrations: 40 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Multimedia Information Systems, Computer Communication Networks