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