Person Re-Identification (häftad)
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Format
Previously published in hardcover
Språk
Engelska
Serie
Advances in Computer Vision and Pattern Recognition
Antal sidor
445
Utgivningsdatum
2016-08-27
Förlag
Springer London Ltd
Dimensioner
235 x 155 x 155 mm
Vikt
7808 g
ISBN
9781447170631

Person Re-Identification

av Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy
Previously published in hardcover,  Engelska, 2016-08-27
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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.
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Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy

Övrig information

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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