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Advances in Computer Vision and Pattern Recognition

Advances in Computer Vision and Pattern Recognition

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Advances in Computer Vision and Pattern Recognition

Gong, Shaogang; Cristani, Marco; Yan, Shuicheng; Loy, Chen Change

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.

Details

Published by: Springer

Publication Date: 2014-01-16

Format: Hardcover

ISBN-13: 9781447162957

DOI: 10.1007/978-1-4471-6296-4

Dimensions: 235cm x155cm

Pages: 445

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