Person Re-Identification with Limited Supervision, Panda, Rameswar Roy-Chowdhury, Amit K.
Автор: Shaogang Gong; Marco Cristani; Shuicheng Yan; Chen Название: Person Re-Identification ISBN: 1447162951 ISBN-13(EAN): 9781447162957 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes;
Автор: Panda Rameswar, Roy-Chowdhury Amit K. Название: Person Re-Identification with Limited Supervision ISBN: 163639227X ISBN-13(EAN): 9781636392271 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8870.00 р. Наличие на складе: Нет в наличии.
Описание:
Person re-identification is the problem of associating observations of targets in different non-overlapping cameras. Most of the existing learning-based methods have resulted in improved performance on standard re-identification benchmarks, but at the cost of time-consuming and tediously labeled data. Motivated by this, learning person re-identification models with limited to no supervision has drawn a great deal of attention in recent years.
In this book, we provide an overview of some of the literature in person re-identification, and then move on to focus on some specific problems in the context of person re-identification with limited supervision in multi-camera environments. We expect this to lead to interesting problems for researchers to consider in the future, beyond the conventional fully supervised setup that has been the framework for a lot of work in person re-identification.
Chapter 1 starts with an overview of the problems in person re-identification and the major research directions. We provide an overview of the prior works that align most closely with the limited supervision theme of this book. Chapter 2 demonstrates how global camera network constraints in the form of consistency can be utilized for improving the accuracy of camera pair-wise person re-identification models and also selecting a minimal subset of image pairs for labeling without compromising accuracy. Chapter 3 presents two methods that hold the potential for developing highly scalable systems for video person re-identification with limited supervision. In the one-shot setting where only one tracklet per identity is labeled, the objective is to utilize this small labeled set along with a larger unlabeled set of tracklets to obtain a re-identification model. Another setting is completely unsupervised without requiring any identity labels. The temporal consistency in the videos allows us to infer about matching objects across the cameras with higher confidence, even with limited to no supervision. Chapter 4 investigates person re-identification in dynamic camera networks. Specifically, we consider a novel problem that has received very little attention in the community but is critically important for many applications where a new camera is added to an existing group observing a set of targets. We propose two possible solutions for on-boarding new camera(s) dynamically to an existing network using transfer learning with limited additional supervision. Finally, Chapter 5 concludes the book by highlighting the major directions for future research.
Автор: Ajay Kumar Название: Contactless 3D Fingerprint Identification ISBN: 3319676806 ISBN-13(EAN): 9783319676807 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This important text/reference presents the first dedicated review of techniques for contactless 3D fingerprint identification, including novel and previously unpublished research. The text provides a systematic introduction to 3D fingerprint identification, covering the latest advancements in contactless 2D and 3D sensing technologies, and detailed discussions on each key aspect in the development of an effective 3D fingerprint identification system.Topics and features: introduces the key concepts and trends in the acquisition and identification of fingerprint images, and a range of 3D fingerprint imaging techniques; proposes a low-cost method for online 3D fingerprint image acquisition, and an efficient 3D fingerprint imaging approach using coloured photometric stereo; describes pre-processing operations on point cloud 3D fingerprint data, and explains the specialized operations for reconstructing 3D fingerprints from live finger scans; examines the representation of minutiae in 3D space, providing details on recovering these features from point cloud data, and on matching such 3D minutiae templates; reviews various 3D fingerprint matching methods, including binary surface code-based approaches and a tetrahedron-based matching approach; discusses the uniqueness of 3D fingerprints, evaluating the benefits of employing 3D fingerprint identification over conventional 2D fingerprint techniques.This unique work is a must-read for all researchers seeking to make further advances in this area, towards the exciting opportunities afforded by contactless 3D fingerprint identification for improving the hygiene, user convenience, and matching accuracy of fingerprint biometric technologies.
Автор: Wu Название: Human Re-Identification ISBN: 3319409905 ISBN-13(EAN): 9783319409900 Издательство: Springer Рейтинг: Цена: 10760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human re-identification that bridge the gap between research and reality. The primary focus is on building a robust, reliable, distributed and scalable smart surveillance system that can be deployed in real-world scenarios. This book also includes detailed discussions on pedestrian candidates detection, discriminative feature extraction and selection, dimension reduction, distance/metric learning, and decision/ranking enhancement.
This book is intended for professionals and researchers working in computer vision and machine learning. Advanced-level students of computer science will also find the content valuable.
Описание: This book mainly deals with grassland digitalization and recognition through computer vision, which will make contributions to implement of grass auto recognition and data acquisition.
Описание: This book is intended for periodontal residents and practicing periodontists who wish to incorporate the principles of moderate sedation into daily practice. Comprehensive airway management and rescue skills are then documented in detail so that the patient may be properly managed in the event that the sedation progresses beyond the intended level.
Автор: Remagnino Paolo, Mayo Simon, Wilkin Paul Название: Computational Botany: Methods for Automated Species Identification ISBN: 3662571560 ISBN-13(EAN): 9783662571569 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses innovative methods for mining information from images of plants, especially leaves, and highlights the diagnostic features that can be implemented in fully automatic systems for identifying plant species.
Описание: This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures.
Автор: Kaltenbacher Barbara, Schuster Thomas, Wald Anne Название: Time-Dependent Problems in Imaging and Parameter Identification ISBN: 303057783X ISBN-13(EAN): 9783030577834 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data 2 Dynamic Inverse Problems for the Acoustic Wave Equation 3 Motion compensation strategies in tomography 4 Microlocal properties of dynamic Fourier integral operators 5 The tangential cone condition for some coefficient identification model problems in parabolic PDEs 6 Sequential subspace optimization for recovering stored energy functions in hyperelastic materials from time-dependent data 7 Joint Motion Estimation and Source Identification using Convective Regularisation with an Application to the Analysis of Laser Nanoablations 8 Quantitative OCT reconstructions for dispersive media 9 Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements 10 Holmgren-John Unique Continuation Theorem for Viscoelastic Systems 11 Tomographic Reconstruction for Single Conjugate Adaptive Optics 12 Inverse Problems of Single Molecule Localization Microscopy 13 Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging 14 An inverse source problem related to acoustic nonlinearity parameter imaging
Автор: Wu Ziyan Название: Human Re-Identification ISBN: 3319822357 ISBN-13(EAN): 9783319822358 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers aspects of human re-identification problems related to computer vision and machine learning.
Описание: This book emphasizes recent advances in the creation of biometric identification systems for various applications in the field of human activity. The book displays the problems that arise in modern systems of biometric identification, as well as the level of development and prospects for the introduction of biometric technologies.
Автор: Deven N. Trivedi; Nimit D. Shah; Ashish M. Kothari Название: Dental Image Processing for Human Identification ISBN: 3319994700 ISBN-13(EAN): 9783319994703 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an approach to postmortem human identification using dental image processing based on dental features and characteristics, and provides information on various identification systems based on dental features using image processing operations. The book also provides information on a novel human identification approach that uses Infinite Symmetric Exponential Filter (ISEF) based edge detection and contouring algorithms.
Provides complete details on dental imaging;Discusses the important features of a human identification approach and presents a brief review on DICOM standard for dental imaging;Presents human identification approach based on dental features.
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