Person Re-Identification (eBook)

Shaogang Gong, Marco Cristani, Shuicheng Yan, Chen Change Loy (Herausgeber)

eBook Download: PDF

2014 | 2014
XVIII, 445 Seiten
Springer London (Verlag)
978-1-4471-6296-4 (ISBN)

Infos

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.

Inhalt

The Re-Identification ChallengeShaogang Gong, Marco Cristani, Chen Change Loy, and Timothy M. HospedalesPart I: Features and RepresentationsDiscriminative Image Descriptors for Person Re-IdentificationBingpeng Ma, Yu Su, and Frédéric JurieSDALF: Modeling Human Appearance with Symmetry-Driven Accumulation of Local FeaturesLoris Bazzani, Marco Cristani, and Vittorio MurinoRe-Identification by Covariance DescriptorsSławomir Bąk and François BrémondAttributes-Based Re-IdentificationRyan Layne, Timothy M. Hospedales, and Shaogang GongPerson Re-Identification by Attribute-Assisted Clothes AppearanceAnnan Li, Luoqi Liu, and Shuicheng YanPerson Re-Identification by Articulated Appearance MatchingDong Seon Cheng and Marco CristaniOne-Shot Person Re-Identification with a Consumer Depth CameraMatteo Munaro, Andrea Fossati, Alberto Basso, Emanuele Menegatti, and Luc Van GoolGroup Association: Assisting Re-Identification by Visual ContextWei-Shi Zheng, Shaogang Gong, and Tao XiangEvaluating Feature Importance for Re-IdentificationChunxiao Liu, Shaogang Gong, Chen Change Loy, and Xinggang LinPart II: Matching and Distance MetricLearning Appearance Transfer for Person Re-IdentificationTamar Avraham and Michael LindenbaumMahalanobis Distance Learning for Person Re-IdentificationPeter M. Roth, Martin Hirzer, Martin Köstinger, Csaba Beleznai, and Horst BischofDictionary-Based Domain Adaptation Methods for the Re-Identification of FacesQiang Qiu, Jie Ni, and Rama ChellappaFrom Re-Identification to Identity Inference: Labelling Consistency by Local Similarity ConstraintsSvebor Karaman, Giuseppe Lisanti, Andrew D. Bagdanov, and Alberto Del BimboRe-Identification for Improved People TrackingFrançois Fleuret, Horesh Ben Shitrit, and Pascal FuaPart III: Evaluation and ApplicationBenchmarking for Person Re-IdentificationRoberto Vezzani and Rita CucchiaraPerson Re-Identification: System Design and Evaluation OverviewXiaogang Wang and Rui ZhaoPeople Search with Textual Queries about Clothing Appearance AttributesRiccardo Satta, Federico Pala, Giorgio Fumera, and Fabio RoliLarge Scale Camera Topology Mapping: Application to Re-IdentificationAnthony Dick, Anton van den Hengel, and Henry DetmoldScalable Multi-Camera Tracking in a MetropolisYogesh Raja and Shaogang Gong

Produkt-Details

• Erscheint lt. Verlag: 3.1.2014
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Reihe/Serie: Advances in Computer Vision and Pattern Recognition
• Zusatzinfo: XVIII, 445 p. 163 illus., 154 illus. in color.
• Verlagsort: London
• Sprache: englisch
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: 3D Computer Vision • Active learning • Attribute Learning • Behavioral Biometrics • Big Data Search • Context-Aware Recognition • data fusion • Data Mining • Distributed Camera Networks • Human Recognition • Image Retrieval • Multi-Camera Tracking • multi-instance learning • People Detection • Person Re-Identification • Soft Biometrics • transfer learning • video content analysis • Visual Surveillance
• ISBN-10: 1-4471-6296-X / 144716296X
• ISBN-13: 978-1-4471-6296-4 / 9781447162964