Editors:
- Presents a unified collection of state-of-the-art solutions to fundamental problems in computer vision
- Examines a fast-growing topic of considerable interest to a broad audience
- Contains contributions from an international selection of experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (20 chapters)
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Front Matter
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Features and Representations
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Front Matter
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Matching and Distance Metric
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Front Matter
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Evaluation and Application
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Front Matter
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About this book
Keywords
- 3D Computer Vision
- Active Learning
- Attribute Learning
- Behavioral Biometrics
- Big Data Search
- Context-Aware Recognition
- Data Fusion
- Data Mining
- Distributed Camera Networks
- Human Recognition
- Image Retrieval
- Multi-Camera Tracking
- Multi-Instance Learning
- People Detection
- Person Re-Identification
- Soft Biometrics
- Transfer Learning
- Video Content Analysis
- Visual Surveillance
Reviews
The book is intended for researchers that work, or want to start working on this research topic. … The book is very interesting and allows having an insight into the problem of person re-identification and its potential applications. It provides a presentation of the current state-of-the-are and recent progress on this topic. I think that researchers who intend to work on re-identification can benefit from reading this book. They will be introduced to the many interesting challenges to be faced.” (Donatello Conte, IAPR Newsletter, Vol. 37 (2), 2015)
Editors and Affiliations
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Queen Mary University, London, United Kingdom
Shaogang Gong
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University of Verona, Italy
Marco Cristani
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National University of Singapore, Singapore
Shuicheng Yan
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The Chinese University of Hong Kong, Shatin, Hong Kong SAR
Chen Change Loy
About the editors
Bibliographic Information
Book Title: Person Re-Identification
Editors: Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-6296-4
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2014
Hardcover ISBN: 978-1-4471-6295-7Published: 16 January 2014
Softcover ISBN: 978-1-4471-7063-1Published: 27 August 2016
eBook ISBN: 978-1-4471-6296-4Published: 03 January 2014
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVIII, 445
Number of Illustrations: 9 b/w illustrations, 154 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Math Applications in Computer Science, Information Systems Applications (incl. Internet), User Interfaces and Human Computer Interaction, Artificial Intelligence