Person Re Identification

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Computer Vision -- ECCV 2014

Author : David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars
Publisher : Springer
Page : 632 pages
File Size : 48,8 Mb
Release : 2014-09-22
Category : Computers
ISBN : 3319105833

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Computer Vision -- ECCV 2014 by David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars Pdf

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Person Re-Identification

Author : Shaogang Gong,Marco Cristani,Shuicheng Yan,Chen Change Loy
Publisher : Springer Science & Business Media
Page : 446 pages
File Size : 48,5 Mb
Release : 2014-01-03
Category : Computers
ISBN : 9781447162964

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Person Re-Identification by Shaogang Gong,Marco Cristani,Shuicheng Yan,Chen Change Loy Pdf

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.

Visual Analysis of Behaviour

Author : Shaogang Gong,Tao Xiang
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 45,6 Mb
Release : 2011-05-26
Category : Computers
ISBN : 9780857296702

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Visual Analysis of Behaviour by Shaogang Gong,Tao Xiang Pdf

This book presents a comprehensive treatment of visual analysis of behaviour from computational-modelling and algorithm-design perspectives. Topics: covers learning-group activity models, unsupervised behaviour profiling, hierarchical behaviour discovery, learning behavioural context, modelling rare behaviours, and “man-in-the-loop” active learning; examines multi-camera behaviour correlation, person re-identification, and “connecting-the-dots” for abnormal behaviour detection; discusses Bayesian information criterion, Bayesian networks, “bag-of-words” representation, canonical correlation analysis, dynamic Bayesian networks, Gaussian mixtures, and Gibbs sampling; investigates hidden conditional random fields, hidden Markov models, human silhouette shapes, latent Dirichlet allocation, local binary patterns, locality preserving projection, and Markov processes; explores probabilistic graphical models, probabilistic topic models, space-time interest points, spectral clustering, and support vector machines.

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Author : Eduardo Bayro-Corrochano,Edwin Hancock
Publisher : Springer
Page : 1071 pages
File Size : 46,8 Mb
Release : 2014-10-23
Category : Computers
ISBN : 9783319125688

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by Eduardo Bayro-Corrochano,Edwin Hancock Pdf

This book constitutes the refereed proceedings of the 19th Iberoamerican Congress on Pattern Recognition, CIARP 2014, held in Puerto Vallarta, Jalisco, Mexico, in November 2014. The 115 papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on image coding, processing and analysis; segmentation, analysis of shape and texture; analysis of signal, speech and language; document processing and recognition; feature extraction, clustering and classification; pattern recognition and machine learning; neural networks for pattern recognition; computer vision and robot vision; video segmentation and tracking.

Human Re-Identification

Author : Ziyan Wu
Publisher : Springer
Page : 104 pages
File Size : 42,5 Mb
Release : 2016-09-08
Category : Computers
ISBN : 9783319409917

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Human Re-Identification by Ziyan Wu Pdf

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.

Computer Vision - ECCV 2014 Workshops

Author : Lourdes Agapito,Michael M. Bronstein,Carsten Rother
Publisher : Springer
Page : 860 pages
File Size : 53,5 Mb
Release : 2015-03-19
Category : Computers
ISBN : 9783319161990

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Computer Vision - ECCV 2014 Workshops by Lourdes Agapito,Michael M. Bronstein,Carsten Rother Pdf

The four-volume set LNCS 8925, 8926, 8927 and 8928 comprises the thoroughly refereed post-workshop proceedings of the Workshops that took place in conjunction with the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 203 workshop papers were carefully reviewed and selected for inclusion in the proceedings. They where presented at workshops with the following themes: where computer vision meets art; computer vision in vehicle technology; spontaneous facial behavior analysis; consumer depth cameras for computer vision; "chalearn" looking at people: pose, recovery, action/interaction, gesture recognition; video event categorization, tagging and retrieval towards big data; computer vision with local binary pattern variants; visual object tracking challenge; computer vision + ontology applies cross-disciplinary technologies; visual perception of affordance and functional visual primitives for scene analysis; graphical models in computer vision; light fields for computer vision; computer vision for road scene understanding and autonomous driving; soft biometrics; transferring and adapting source knowledge in computer vision; surveillance and re-identification; color and photometry in computer vision; assistive computer vision and robotics; computer vision problems in plant phenotyping; and non-rigid shape analysis and deformable image alignment. Additionally, a panel discussion on video segmentation is included.

Video Analytics for Business Intelligence

Author : Caifeng Shan,Fatih Porikli,Tao Xiang,Shaogang Gong
Publisher : Springer Science & Business Media
Page : 374 pages
File Size : 50,7 Mb
Release : 2012-04-07
Category : Computers
ISBN : 9783642285974

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Video Analytics for Business Intelligence by Caifeng Shan,Fatih Porikli,Tao Xiang,Shaogang Gong Pdf

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.

Person Re-Identification with Limited Supervision

Author : Rameswar Panda,Amit K. Roy-Chowdhury
Publisher : Springer Nature
Page : 86 pages
File Size : 52,8 Mb
Release : 2022-06-01
Category : Computers
ISBN : 9783031018251

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Person Re-Identification with Limited Supervision by Rameswar Panda,Amit K. Roy-Chowdhury Pdf

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.

Deep Learning: Algorithms and Applications

Author : Witold Pedrycz,Shyi-Ming Chen
Publisher : Springer Nature
Page : 360 pages
File Size : 50,7 Mb
Release : 2019-10-23
Category : Technology & Engineering
ISBN : 9783030317607

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Deep Learning: Algorithms and Applications by Witold Pedrycz,Shyi-Ming Chen Pdf

This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigm’s algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.

Computer Vision -- ECCV 2014

Author : David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars
Publisher : Springer
Page : 877 pages
File Size : 44,6 Mb
Release : 2014-08-13
Category : Computers
ISBN : 9783319105901

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Computer Vision -- ECCV 2014 by David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars Pdf

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Biometric Systems

Author : Loris Nanni,Sheryl Brahnam
Publisher : MDPI
Page : 352 pages
File Size : 42,7 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783036511283

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Biometric Systems by Loris Nanni,Sheryl Brahnam Pdf

Because of the accelerating progress in biometrics research and the latest nation-state threats to security, this book's publication is not only timely but also much needed. This volume contains seventeen peer-reviewed chapters reporting the state of the art in biometrics research: security issues, signature verification, fingerprint identification, wrist vascular biometrics, ear detection, face detection and identification (including a new survey of face recognition), person re-identification, electrocardiogram (ECT) recognition, and several multi-modal systems. This book will be a valuable resource for graduate students, engineers, and researchers interested in understanding and investigating this important field of study.

Computer Vision -- ECCV 2014

Author : David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars
Publisher : Springer
Page : 854 pages
File Size : 50,6 Mb
Release : 2014-09-22
Category : Computers
ISBN : 331910604X

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Computer Vision -- ECCV 2014 by David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars Pdf

The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.

Visual Analysis of Humans

Author : Thomas B. Moeslund,Adrian Hilton,Volker Krüger,Leonid Sigal
Publisher : Springer Science & Business Media
Page : 633 pages
File Size : 49,6 Mb
Release : 2011-10-08
Category : Computers
ISBN : 9780857299970

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Visual Analysis of Humans by Thomas B. Moeslund,Adrian Hilton,Volker Krüger,Leonid Sigal Pdf

This unique text/reference provides a coherent and comprehensive overview of all aspects of video analysis of humans. Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world. In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges. Features: with a Foreword by Professor Larry Davis; contains contributions from an international selection of leading authorities in the field; includes an extensive glossary; discusses the problems associated with detecting and tracking people through camera networks; examines topics related to determining the time-varying 3D pose of a person from video; investigates the representation and recognition of human and vehicular actions; reviews the most important applications of activity recognition, from biometrics and surveillance, to sports and driver assistance.

Intelligent Computing Methodologies

Author : De-Shuang Huang,Prashan Premaratne
Publisher : Springer Nature
Page : 638 pages
File Size : 45,8 Mb
Release : 2020-10-15
Category : Computers
ISBN : 9783030607968

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Intelligent Computing Methodologies by De-Shuang Huang,Prashan Premaratne Pdf

This two-volume set of LNCS 12463 and LNCS 12464 constitutes - in conjunction with the volume LNAI 12465 - the refereed proceedings of the 16th International Conference on Intelligent Computing, ICIC 2020, held in Bari, Italy, in October 2020. The 162 full papers of the three proceedings volumes were carefully reviewed and selected from 457 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is “Advanced Intelligent Computing Methodologies and Applications.” Papers related to this theme are especially solicited, addressing theories, methodologies, and applications in science and technology.

Human Identification Based on Gait

Author : Mark S. Nixon,Tieniu Tan,Rama Chellappa
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 46,6 Mb
Release : 2010-05-26
Category : Computers
ISBN : 9780387294889

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Human Identification Based on Gait by Mark S. Nixon,Tieniu Tan,Rama Chellappa Pdf

Human Identification Based on Gait is the first book to address gait as a biometric. Biometrics is now in a unique position where it affects most people's lives. This is especially true of "gait", which is one of the most recent biometrics. Recognizing people by the way they walk and run implies analyzing movement which, in turn, implies analyzing sequences of images, thus requiring memory and computational performance that became available only recently. Human Identification Based on Gait introduces developments from distinguished researchers within this relatively new area of biometrics. This book clearly establishes how human gait is biometric. Human Identification Based on Gait is structured to meet the needs of professionals in industry, as well as advanced-level students in computer science.