Human Re Identification

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Person Re-Identification

Author : Shaogang Gong
Publisher : Springer Science & Business Media
ISBN 13 : 144716296X
Total Pages : 446 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Person Re-Identification by : Shaogang Gong

Download or read book Person Re-Identification written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2014-01-03 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Human Re-Identification

Author : Ziyan Wu
Publisher : Springer
ISBN 13 : 3319409913
Total Pages : 107 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Human Re-Identification by : Ziyan Wu

Download or read book Human Re-Identification written by Ziyan Wu and published by Springer. This book was released on 2016-09-08 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : David Fleet
Publisher : Springer
ISBN 13 : 9783319105833
Total Pages : 632 pages
Book Rating : 4.1/5 (58 download)

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Book Synopsis Computer Vision -- ECCV 2014 by : David Fleet

Download or read book Computer Vision -- ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-09-22 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Eduardo Bayro-Corrochano
Publisher : Springer
ISBN 13 : 3319125680
Total Pages : 1071 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications by : Eduardo Bayro-Corrochano

Download or read book Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications written by Eduardo Bayro-Corrochano and published by Springer. This book was released on 2014-10-23 with total page 1071 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Visual Analysis of Behaviour

Author : Shaogang Gong
Publisher : Springer Science & Business Media
ISBN 13 : 0857296701
Total Pages : 358 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Visual Analysis of Behaviour by : Shaogang Gong

Download or read book Visual Analysis of Behaviour written by Shaogang Gong and published by Springer Science & Business Media. This book was released on 2011-05-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Person Re-Identification with Limited Supervision

Author : Rameswar Panda
Publisher : Springer Nature
ISBN 13 : 3031018257
Total Pages : 86 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Person Re-Identification with Limited Supervision by : Rameswar Panda

Download or read book Person Re-Identification with Limited Supervision written by Rameswar Panda and published by Springer Nature. This book was released on 2022-06-01 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computer Vision – ECCV 2016

Author : Bastian Leibe
Publisher : Springer
ISBN 13 : 3319464930
Total Pages : 902 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Computer Vision – ECCV 2016 by : Bastian Leibe

Download or read book Computer Vision – ECCV 2016 written by Bastian Leibe and published by Springer. This book was released on 2016-09-16 with total page 902 pages. Available in PDF, EPUB and Kindle. Book excerpt: The eight-volume set comprising LNCS volumes 9905-9912 constitutes the refereed proceedings of the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. The 415 revised papers presented were carefully reviewed and selected from 1480 submissions. The papers cover all aspects of computer vision and pattern recognition such as 3D computer vision; computational photography, sensing and display; face and gesture; low-level vision and image processing; motion and tracking; optimization methods; physicsbased vision, photometry and shape-from-X; recognition: detection, categorization, indexing, matching; segmentation, grouping and shape representation; statistical methods and learning; video: events, activities and surveillance; applications. They are organized in topical sections on detection, recognition and retrieval; scene understanding; optimization; image and video processing; learning; action activity and tracking; 3D; and 9 poster sessions.

Visual Object Tracking with Deep Neural Networks

Author : Pier Luigi Mazzeo
Publisher : BoD – Books on Demand
ISBN 13 : 1789851572
Total Pages : 208 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Visual Object Tracking with Deep Neural Networks by : Pier Luigi Mazzeo

Download or read book Visual Object Tracking with Deep Neural Networks written by Pier Luigi Mazzeo and published by BoD – Books on Demand. This book was released on 2019-12-18 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual object tracking (VOT) and face recognition (FR) are essential tasks in computer vision with various real-world applications including human-computer interaction, autonomous vehicles, robotics, motion-based recognition, video indexing, surveillance and security. This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. It is organized into nine chapters across three sections. Section I discusses object detection and tracking ideas and algorithms; Section II examines applications based on re-identification challenges; and Section III presents applications based on FR research.

Computer Vision -- ECCV 2014

Author : David Fleet
Publisher : Springer
ISBN 13 : 9783319106045
Total Pages : 854 pages
Book Rating : 4.1/5 (6 download)

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Book Synopsis Computer Vision -- ECCV 2014 by : David Fleet

Download or read book Computer Vision -- ECCV 2014 written by David Fleet and published by Springer. This book was released on 2014-09-22 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Human Identity and Identification

Author : Rebecca Gowland
Publisher : Cambridge University Press
ISBN 13 : 0521885914
Total Pages : 237 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Human Identity and Identification by : Rebecca Gowland

Download or read book Human Identity and Identification written by Rebecca Gowland and published by Cambridge University Press. This book was released on 2013-01-17 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers an overview of human identity and identification, examining the whole body by integrating biological and social sciences and theories.

Video Analytics for Business Intelligence

Author : Caifeng Shan
Publisher : Springer Science & Business Media
ISBN 13 : 364228597X
Total Pages : 374 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Video Analytics for Business Intelligence by : Caifeng Shan

Download or read book Video Analytics for Business Intelligence written by Caifeng Shan and published by Springer Science & Business Media. This book was released on 2012-04-07 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Computing Methodologies

Author : De-Shuang Huang
Publisher : Springer Nature
ISBN 13 : 3030607968
Total Pages : 638 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Intelligent Computing Methodologies by : De-Shuang Huang

Download or read book Intelligent Computing Methodologies written by De-Shuang Huang and published by Springer Nature. This book was released on 2020-10-15 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computer Vision – ECCV 2020

Author : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030585689
Total Pages : 843 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi

Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-12 with total page 843 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Re-evaluation of Some Organic Chemicals, Hydrazine and Hydrogen Peroxide

Author : IARC Working Group on the Evaluation of Carcinogenic Risks to Humans
Publisher :
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Re-evaluation of Some Organic Chemicals, Hydrazine and Hydrogen Peroxide by : IARC Working Group on the Evaluation of Carcinogenic Risks to Humans

Download or read book Re-evaluation of Some Organic Chemicals, Hydrazine and Hydrogen Peroxide written by IARC Working Group on the Evaluation of Carcinogenic Risks to Humans and published by . This book was released on 1999 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision – ECCV 2020

Author : Andrea Vedaldi
Publisher : Springer Nature
ISBN 13 : 3030585557
Total Pages : 836 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Computer Vision – ECCV 2020 by : Andrea Vedaldi

Download or read book Computer Vision – ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-15 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Forensic Genetic Approaches for Identification of Human Skeletal Remains

Author : Angie Ambers
Publisher : Academic Press
ISBN 13 : 0128163690
Total Pages : 628 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Forensic Genetic Approaches for Identification of Human Skeletal Remains by : Angie Ambers

Download or read book Forensic Genetic Approaches for Identification of Human Skeletal Remains written by Angie Ambers and published by Academic Press. This book was released on 2022-11-15 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forensic Genetic Approaches for Identification of Human Skeletal Remains: Challenges, Best Practices, and Emerging Technologies provides best practices on processing bone samples for DNA testing. The book outlines forensic genetics tools that are available for the identification of skeletal remains in contemporary casework and historical/archaeological investigations. Although the book focuses primarily on the use of DNA for direct identification or kinship analyses, it also highlights complementary disciplines often used in concert with genetic data to make positive identifications, such as forensic anthropology, forensic odontology, and forensic art/sculpting. Unidentified human remains are often associated with tragic events, such as fires, terrorist attacks, natural disasters, war conflicts, genocide, airline crashes, homicide, and human rights violations under oppressive totalitarian regimes. In these situations, extensive damage to soft tissues often precludes the use of such biological samples in the identification process. In contrast, bone material is the most resilient, viable sample type for DNA testing. DNA recovered from bone often is degraded and in low quantities due to the effects of human decomposition, environmental exposure, and the passage of time. The complexities of bone microstructure and its rigid nature make skeletal remains one of the most challenging sample types for DNA testing. Provides best practices on processing bone samples for DNA testing Presents detailed coverage of proper facilities design for skeletal remains processing, selection of optimal skeletal elements for DNA recovery, specialized equipment needed, preparation and cleaning of bone samples for DNA extraction, and more Highlights complementary disciplines often used in concert with genetic data to make positive identifications, such as forensic anthropology, forensic odontology, and forensic art/sculpting

Human Re-identification Through a Video Camera Network

Author : Slawomir Bąk
Publisher :
ISBN 13 :
Total Pages : 165 pages
Book Rating : 4.:/5 (835 download)

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Book Synopsis Human Re-identification Through a Video Camera Network by : Slawomir Bąk

Download or read book Human Re-identification Through a Video Camera Network written by Slawomir Bąk and published by . This book was released on 2012 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis targets the appearance-based re-identification of humans in images and videos. Human re-identification is defined as a requirement to determine whether a given individual has already appeared over a network of cameras. This problem is particularly hard by significant appearance changes across different camera views, where variations in viewing angle, illumination and object pose, make the problem challenging. We focus on developing robust appearance models that are able to match human appearances registered in disjoint camera views. As encoding of image regions is fundamental for appearance matching, we study different kinds of image descriptors. These different descriptors imply different strategies for appearance matching, bringing different models for the human appearance representation. By applying machine learning techniques, we generate descriptive and discriminative models, which enhance distinctive characteristics of extracted features, improving re-identification accuracy. This thesis makes the following contributions. We propose six techniques for human re-identification. The first two belong to single-shot approaches, in which a single image is sufficient to extract a robust signature. These approaches divide the human body into the predefined body parts and then extract image features. This allows to establish the corresponding body parts, while comparing signatures. The remaining four methods address the re-identification problem using signatures computed from multiple images (multiple-shot case). We propose two techniques which learn online the human appearance model using a boosting scheme. The boosting approaches improve recognition accuracy at the expense of time consumption. The last two approaches either assume the predefined model, or learn offline a model, to meet time requirements. We find that covariance feature is in general the best descriptor for matching appearances across disjoint camera views. As a distance operator of this descriptor is computationally intensive, we also propose a new GPU-based implementation which significantly speeds up computations. Our experiments suggest that mean Riemannian covariance computed from multiple images improves state of the art performance of human re-identification techniques. Finally, we extract two new image sets of individuals for evaluating the multiple-shot scenario.