Person Re-Identification

1. Evaluation and Application

   1. Person Re-identification: System Design and Evaluation Overview

      • Xiaogang Wang, Rui Zhao

      Pages 351-370

   2. People Search with Textual Queries About Clothing Appearance Attributes

      • Riccardo Satta, Federico Pala, Giorgio Fumera, Fabio Roli

      Pages 371-389

   3. Large-Scale Camera Topology Mapping: Application to Re-identification

      • Anthony Dick, Anton van den Hengel, Henry Detmold

      Pages 391-411

   4. Scalable Multi-camera Tracking in a Metropolis

      • Yogesh Raja, Shaogang Gong

      Pages 413-438

2. Back Matter

   Pages 439-445

   PDF

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

• 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

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)

• Queen Mary University, London, United Kingdom

  Shaogang Gong

• University of Verona, Italy

  Marco Cristani

• National University of Singapore, Singapore

  Shuicheng Yan

• The Chinese University of Hong Kong, Shatin, Hong Kong SAR

  Chen Change Loy

Dr. Shaogang Gong is a Professor of Visual Computation in the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK. His publications include the successful Springer books Visual Analysis of Behaviour and Video Analytics for Business Intelligence. Dr. Marco Cristani is an Assistant Professor in the Computer Science Department at the University of Verona, Italy. Dr. Shuicheng Yan is an Associate Professor in the Department of Electrical and Computer Engineering at the National University of Singapore. Dr. Chen Change Loy is a Research Assistant Professor in the Department of Information Engineering at the Chinese University of Hong Kong.

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