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Person Re-Identification

Paperback Engels 2016 9781447170631
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9781447170631
Taal:Engels
Bindwijze:paperback
Uitgever:Springer London

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Inhoudsopgave

<p>The Re-Identification Challenge<br>Shaogang Gong, Marco Cristani, Chen Change Loy, and Timothy M. Hospedales</p><p>Part I: Features and Representations</p><p>Discriminative Image Descriptors for Person Re-Identification<br>Bingpeng Ma, Yu Su, and Frédéric Jurie</p><p>SDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local Features<br>Loris Bazzani, Marco Cristani, and Vittorio Murino</p><p>Re-Identification by Covariance Descriptors<br>Sławomir Bąk and François Brémond</p><p>Attributes-Based Re-Identification<br>Ryan Layne, Timothy M. Hospedales, and Shaogang Gong</p><p>Person Re-Identification by Attribute-Assisted Clothes Appearance<br>Annan Li, Luoqi Liu, and Shuicheng Yan</p><p>Person Re-Identification by Articulated Appearance Matching<br>Dong Seon Cheng and Marco Cristani</p><p>One-Shot Person Re-Identification with a Consumer Depth Camera<br>Matteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti, and Luc Van Gool</p><p>Group Association: Assisting Re-Identification by Visual Context<br>Wei-Shi Zheng, Shaogang Gong, and Tao Xiang</p><p>Evaluating Feature Importance for Re-Identification<br>Chunxiao Liu, Shaogang Gong, Chen Change Loy, and Xinggang Lin</p><p>Part II: Matching and Distance Metric</p><p>Learning Appearance Transfer for Person Re-Identification<br>Tamar Avraham and Michael Lindenbaum</p><p>Mahalanobis Distance Learning for Person Re-Identification<br>Peter M. Roth, Martin Hirzer, Martin Köstinger, Csaba Beleznai, and Horst Bischof</p><p>Dictionary-Based Domain Adaptation Methods for the Re-Identification of Faces<br>Qiang Qiu, Jie Ni, and Rama Chellappa</p><p>From Re-Identification to Identity Inference: Labelling Consistency by Local Similarity Constraints<br>Svebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, and Alberto Del Bimbo</p><p>Re-Identification for Improved People Tracking<br>François Fleuret, Horesh Ben Shitrit, and Pascal Fua</p><p>Part III: Evaluation and Application</p><p>Benchmarking for Person Re-Identification<br>Roberto Vezzani and Rita Cucchiara</p><p>Person Re-Identification: System Design and Evaluation Overview<br>Xiaogang Wang and Rui Zhao</p><p>People Search with Textual Queries about Clothing Appearance Attributes<br>Riccardo Satta, Federico Pala, Giorgio Fumera, and Fabio Roli</p><p>Large Scale Camera Topology Mapping: Application to Re-Identification<br>Anthony Dick, Anton van den Hengel, and Henry Detmold</p><p>Scalable Multi-Camera Tracking in a Metropolis<br>Yogesh Raja and Shaogang Gong</p>

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