eBook Person Re-Identification, 1st Edition

  • Published By:
  • ISBN-10: 144716296X
  • ISBN-13: 9781447162964
  • DDC: 006.4
  • Grade Level Range: College Freshman - College Senior
  • 445 Pages | eBook
  • Original Copyright 2014 | Published/Released June 2014
  • This publication's content originally published in print form: 2014
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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.

Table of Contents

Front Cover.
Half Title Page.
Title Page.
Copyright Page.
1: The Re-Identification Challenge.
2: Features and Representations.
3: Discriminative Image Descriptors for Person Re-Identification.
4: SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features.
5: Re-Identification by Covariance Descriptors.
6: Attributes-Based Re-Identification.
7: Person Re-Identification by Attribute-Assisted Clothes Appearance.
8: Person Re-Identification by Articulated Appearance Matching.
9: One-Shot Person Re-Identification with a Consumer Depth Camera.
10: Group Association: Assisting Re-Identification by Visual Context.
11: Evaluating Feature Importance for Re-Identification.
12: Matching and Distance Metric.
13: Learning Appearance Transfer for Person Re-Identification.
14: Mahalanobis Distance Learning for Person Re-Identification.
15: Dictionary-Based Domain Adaptation Methods for the Re-Identification of Faces.
16: From Re-Identification to Identity Inference: Labeling Consistency by Local Similarity Constraints.
17: Re-Identification for Improved People Tracking.
18: Evaluation and Application.
19: Benchmarking for Person Re-Identification.
20: Person Re-Identification: System Design and Evaluation Overview.
21: People Search with Textual Queries about Clothing Appearance Attributes.
22: Large-Scale Camera Topology Mapping: Application to Re-Identification.
23: Scalable Multi-Camera Tracking in a Metropolis.