Overview
- 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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Features and Representations
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Matching and Distance Metric
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Evaluation and Application
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
About this book
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
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