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Person Re-Identification

Overview of attention for book
Cover of 'Person Re-Identification'

Table of Contents

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    Book Overview
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    Chapter 1 The Re-identification Challenge
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    Chapter 2 Discriminative Image Descriptors for Person Re-identification
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    Chapter 3 SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features
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    Chapter 4 Re-identification by Covariance Descriptors
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    Chapter 5 Attributes-Based Re-identification
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    Chapter 6 Person Re-identification by Attribute-Assisted Clothes Appearance
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    Chapter 7 Person Re-identification by Articulated Appearance Matching
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    Chapter 8 One-Shot Person Re-identification with a Consumer Depth Camera
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    Chapter 9 Group Association: Assisting Re-identification by Visual Context
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    Chapter 10 Evaluating Feature Importance for Re-identification
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    Chapter 11 Learning Appearance Transfer for Person Re-identification
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    Chapter 12 Mahalanobis Distance Learning for Person Re-identification
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    Chapter 13 Dictionary-Based Domain Adaptation Methods for the Re-identification of Faces
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    Chapter 14 From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints
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    Chapter 15 Re-identification for Improved People Tracking
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    Chapter 16 Benchmarking for Person Re-identification
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    Chapter 17 Person Re-identification: System Design and Evaluation Overview
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    Chapter 18 People Search with Textual Queries About Clothing Appearance Attributes
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    Chapter 19 Large-Scale Camera Topology Mapping: Application to Re-identification
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    Chapter 20 Scalable Multi-camera Tracking in a Metropolis
Attention for Chapter 14: From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints
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Chapter title
From Re-identification to Identity Inference: Labeling Consistency by Local Similarity Constraints
Chapter number 14
Book title
Person Re-Identification
Published by
Springer, London, January 2014
DOI 10.1007/978-1-4471-6296-4_14
Book ISBNs
978-1-4471-6295-7, 978-1-4471-6296-4
Authors

Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, Alberto Del Bimbo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 14%
United States 1 14%
Unknown 5 71%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 43%
Researcher 2 29%
Student > Postgraduate 1 14%
Other 1 14%
Readers by discipline Count As %
Computer Science 6 86%
Social Sciences 1 14%