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About this product
- DescriptionThe 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.
- Author BiographyDr. 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.
- PublisherSpringer London Ltd
- Date of Publication04/01/2014
- SubjectComputing: Professional & Programming
- Series TitleAdvances in Computer Vision and Pattern Recognition
- Place of PublicationEngland
- Country of PublicationUnited Kingdom
- ImprintSpringer London Ltd
- Content Note9 black & white illustrations, 154 colour illustrations, 44 black & white tables
- Weight916 g
- Width155 mm
- Height235 mm
- Spine25 mm
- Edited byChen Change Loy,Marco Cristani,Shaogang Gong,Shuicheng Yan
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