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Human Recognition In Unconstrained Environments

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Human Recognition in Unconstrained Environments

Human Recognition in Unconstrained Environments Book
Author : Maria De Marsico,Michele Nappi,Hugo Pedro Proença
Publisher : Academic Press
Release : 2017-01-09
ISBN : 0081007124
Language : En, Es, Fr & De

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Book Description :

This book provides a unique picture of the complete ‘in-the-wild’ biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities

Human Recognition in Unconstrained Environments

Human Recognition in Unconstrained Environments Book
Author : Maria De Marsico,Hugo Pedro Proença
Publisher : Academic Press
Release : 2017-01-13
ISBN : 9780081007051
Language : En, Es, Fr & De

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Book Description :

This book provides a unique picture of the complete 'in-the-wild' biometric recognition processing chain; from data acquisition through to detection, segmentation, encoding, and matching reactions against security incidents. Coverage includes: Data hardware architecture fundamentals Background subtraction of humans in outdoor scenes Camera synchronization Biometric traits: Real-time detection and data segmentation Biometric traits: Feature encoding / matching Fusion at different levels Reaction against security incidents Ethical issues in non-cooperative biometric recognition in public spaces With this book readers will learn how to: Use computer vision, pattern recognition and machine learning methods for biometric recognition in real-world, real-time settings, especially those related to forensics and security Choose the most suited biometric traits and recognition methods for uncontrolled settings Evaluate the performance of a biometric system on real world data Presents a complete picture of the biometric recognition processing chain, ranging from data acquisition to the reaction procedures against security incidents Provides specific requirements and issues behind each typical phase of the development of a robust biometric recognition system Includes a contextualization of the ethical/privacy issues behind the development of a covert recognition system which can be used for forensics and security activities

Unconstrained Face Recognition

Unconstrained Face Recognition Book
Author : Shaohua Kevin Zhou,Rama Chellappa,Wenyi Zhao
Publisher : Springer Science & Business Media
Release : 2006-10-11
ISBN : 0387294864
Language : En, Es, Fr & De

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Book Description :

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms. Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.

Selfie Biometrics

Selfie Biometrics Book
Author : Ajita Rattani,Reza Derakhshani,Arun Ross
Publisher : Springer Nature
Release : 2019-09-21
ISBN : 3030269728
Language : En, Es, Fr & De

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Book Description :

This book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community. However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones. Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.

Pattern Recognition ICPR International Workshops and Challenges

Pattern Recognition  ICPR International Workshops and Challenges Book
Author : Alberto Del Bimbo,Rita Cucchiara,Stan Sclaroff,Giovanni Maria Farinella,Tao Mei,Marco Bertini,Hugo Jair Escalante,Roberto Vezzani
Publisher : Springer Nature
Release : 2021-02-20
ISBN : 3030687937
Language : En, Es, Fr & De

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Book Description :

This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

Artificial Intelligence and Sustainable Computing

Artificial Intelligence and Sustainable Computing Book
Author : Manjaree Pandit,M. K. Gaur,Prashant Singh Rana,Akhilesh Tiwari
Publisher : Springer Nature
Release : 2022-12-17
ISBN : 9811916535
Language : En, Es, Fr & De

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Book Description :

This book presents high-quality research papers presented at 3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2021) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 13–14, 2021. The book extensively covers recent research in artificial intelligence (AI) that knits together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.

Human Computer Interaction Interaction Techniques and Environments

Human Computer Interaction  Interaction Techniques and Environments Book
Author : Julie A. Jacko
Publisher : Springer
Release : 2011-06-18
ISBN : 3642216056
Language : En, Es, Fr & De

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Book Description :

This four-volume set LNCS 6761-6764 constitutes the refereed proceedings of the 14th International Conference on Human-Computer Interaction, HCII 2011, held in Orlando, FL, USA in July 2011, jointly with 8 other thematically similar conferences. The revised papers presented were carefully reviewed and selected from numerous submissions. The papers accepted for presentation thoroughly cover the entire field of Human-Computer Interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The papers of this volume are organized in topical sections on touch-based and haptic interaction, gaze and gesture-based interaction, voice, natural language and dialogue, novel interaction techniques and devices, and avatars and embodied interaction.

Proceedings of the International Conference on ISMAC in Computational Vision and Bio Engineering 2018 ISMAC CVB

Proceedings of the International Conference on ISMAC in Computational Vision and Bio Engineering 2018  ISMAC CVB  Book
Author : Durai Pandian,Xavier Fernando,Zubair Baig,Fuqian Shi
Publisher : Springer
Release : 2019-01-01
ISBN : 3030006654
Language : En, Es, Fr & De

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Book Description :

These are the proceedings of the International Conference on ISMAC-CVB, held in Palladam, India, in May 2018. The book focuses on research to design new analysis paradigms and computational solutions for quantification of information provided by object recognition, scene understanding of computer vision and different algorithms like convolutional neural networks to allow computers to recognize and detect objects in images with unprecedented accuracy and to even understand the relationships between them. The proceedings treat the convergence of ISMAC in Computational Vision and Bioengineering technology and includes ideas and techniques like 3D sensing, human visual perception, scene understanding, human motion detection and analysis, visualization and graphical data presentation and a very wide range of sensor modalities in terms of surveillance, wearable applications, home automation etc. ISMAC-CVB is a forum for leading academic scientists, researchers and research scholars to exchange and share their experiences and research results about all aspects of computational vision and bioengineering.

Advances in Computing Informatics Networking and Cybersecurity

Advances in Computing  Informatics  Networking and Cybersecurity Book
Author : Petros Nicopolitidis,Sudip Misra,Laurence Tianruo Yang,Bernard P. Zeigler,Zhaolng Ning
Publisher : Springer Nature
Release : 2022
ISBN : 3030870499
Language : En, Es, Fr & De

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Book Description :

This book presents new research contributions in the above-mentioned fields. Information and communication technologies (ICT) have an integral role in todays society. Four major driving pillars in the field are computing, which nowadays enables data processing in unprecedented speeds, informatics, which derives information stemming for processed data to feed relevant applications, networking, which interconnects the various computing infrastructures and cybersecurity for addressing the growing concern for secure and lawful use of the ICT infrastructure and services. Its intended readership covers senior undergraduate and graduate students in Computer Science and Engineering and Electrical Engineering, as well as researchers, scientists, engineers, ICT managers, working in the relevant fields and industries.

Advances in Safety Management and Human Factors

Advances in Safety Management and Human Factors Book
Author : Pedro Arezes
Publisher : Springer
Release : 2016-07-26
ISBN : 3319419293
Language : En, Es, Fr & De

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Book Description :

This book discusses the latest findings towards ensuring people’s safety, health, and welfare at work. It crosses different disciplines, such as work physiology, health informatics, workplace design, injury prevention, and occupational psychology. It presents new strategies for safety management, including accident prevention methods, such as performance testing and participatory ergonomics. The book, which is based on the AHFE 2016 International Conference on Safety Management and Human Factors, held on July 27-31, 2016, in Walt Disney World®, Florida, USA, provides readers, including decision makers in government and public authorities, with a timely snapshot of the state of the art in the field of safety, health and welfare management. It also addresses agencies such as OSHA and NIOSH as well as other professionals dealing with occupational safety and health.

Local Binary Patterns New Variants and Applications

Local Binary Patterns  New Variants and Applications Book
Author : Sheryl Brahnam,Lakhmi C. Jain,Loris Nanni,Alessandra Lumini
Publisher : Springer
Release : 2013-09-01
ISBN : 364239289X
Language : En, Es, Fr & De

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Book Description :

This book introduces Local Binary Patterns (LBP), arguably one of the most powerful texture descriptors, and LBP variants. This volume provides the latest reviews of the literature and a presentation of some of the best LBP variants by researchers at the forefront of textual analysis research and research on LBP descriptors and variants. The value of LBP variants is illustrated with reported experiments using many databases representing a diversity of computer vision applications in medicine, biometrics, and other areas. There is also a chapter that provides an excellent theoretical foundation for texture analysis and LBP in particular. A special section focuses on LBP and LBP variants in the area of face recognition, including thermal face recognition. This book will be of value to anyone already in the field as well as to those interested in learning more about this powerful family of texture descriptors.

Advances in Face Detection and Facial Image Analysis

Advances in Face Detection and Facial Image Analysis Book
Author : Michal Kawulok,Emre Celebi,Bogdan Smolka
Publisher : Springer
Release : 2016-04-02
ISBN : 331925958X
Language : En, Es, Fr & De

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Book Description :

This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.

Encyclopedia of Information Science and Technology

Encyclopedia of Information Science and Technology Book
Author : Mehdi Khosrow-Pour,Mehdi Khosrowpour
Publisher : IGI Global Snippet
Release : 2009
ISBN : 9781605660264
Language : En, Es, Fr & De

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Book Description :

"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

2021 International Conference on Applications and Techniques in Cyber Intelligence

2021 International Conference on Applications and Techniques in Cyber Intelligence Book
Author : Jemal Abawajy,Zheng Xu,Mohammed Atiquzzaman,Xiaolu Zhang
Publisher : Springer Nature
Release : 2021-07-17
ISBN : 3030791971
Language : En, Es, Fr & De

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Book Description :

This book presents innovative ideas, cutting-edge findings, and novel techniques, methods, and applications in a broad range of cybersecurity and cyberthreat intelligence areas. As our society becomes smarter, there is a corresponding need to secure our cyberfuture. The book describes approaches and findings that are of interest to business professionals and governments seeking to secure our data and underpin infrastructures, as well as to individual users. 1. Highlights recent applications and techniques in cyber intelligence 2. Includes the proceedings of the 2021 International Conference on Applications and Techniques in Cyber Intelligence (ATCI 2021) 3. Presents a broad range of scientific research on cyber intelligence

Computer Vision for Microscopy Image Analysis

Computer Vision for Microscopy Image Analysis Book
Author : Mei Chen
Publisher : Academic Press
Release : 2020-12-01
ISBN : 0128149736
Language : En, Es, Fr & De

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Book Description :

Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery Grasp the state-of-the-art approaches, especially deep neural networks Learn where to obtain open-source datasets and software to jumpstart his or her own investigation

Deep Learning through Sparse and Low Rank Modeling

Deep Learning through Sparse and Low Rank Modeling Book
Author : Zhangyang Wang,Yun Fu,Thomas S. Huang
Publisher : Academic Press
Release : 2019-04-11
ISBN : 012813660X
Language : En, Es, Fr & De

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Book Description :

Deep Learning through Sparse Representation and Low-Rank Modeling bridges classical sparse and low rank models—those that emphasize problem-specific Interpretability—with recent deep network models that have enabled a larger learning capacity and better utilization of Big Data. It shows how the toolkit of deep learning is closely tied with the sparse/low rank methods and algorithms, providing a rich variety of theoretical and analytic tools to guide the design and interpretation of deep learning models. The development of the theory and models is supported by a wide variety of applications in computer vision, machine learning, signal processing, and data mining. This book will be highly useful for researchers, graduate students and practitioners working in the fields of computer vision, machine learning, signal processing, optimization and statistics. Combines classical sparse and low-rank models and algorithms with the latest advances in deep learning networks Shows how the structure and algorithms of sparse and low-rank methods improves the performance and interpretability of Deep Learning models Provides tactics on how to build and apply customized deep learning models for various applications

Probabilistic Graphical Models for Computer Vision

Probabilistic Graphical Models for Computer Vision Book
Author : Qiang Ji
Publisher : Academic Press
Release : 2019-11
ISBN : 012803467X
Language : En, Es, Fr & De

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Book Description :

Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. Discusses PGM theories and techniques with computer vision examples Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision Includes an extensive list of references, online resources and a list of publicly available and commercial software Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

Skeletonization

Skeletonization Book
Author : Punam K Saha,Gunilla Borgefors,Gabriella Sanniti di Baja
Publisher : Academic Press
Release : 2017-06-06
ISBN : 0081012926
Language : En, Es, Fr & De

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Book Description :

Skeletonization: Theory, Methods and Applications is a comprehensive reference on skeletonization, written by the world’s leading researchers in the field. The book presents theory, methods, algorithms and their evaluation, together with applications. Skeletonization is used in many image processing and computer vision applications such as shape recognition and analysis, shape decomposition and character recognition, as well as medical imaging for pulmonary, cardiac, mammographic applications. Part I includes theories and methods unique to skeletonization. Part II includes novel applications including skeleton-based characterization of human trabecular bone micro-architecture, image registration and correspondence establishment in anatomical structures, skeleton-based fast, fully automated generation of vessel tree structure for clinical evaluation of blood vessel systems. Offers a complete picture of skeletonization and its application to image processing, computer vision, pattern recognition and biomedical engineering Provides an in-depth presentation on various topics of skeletonization, including principles, theory, methods, algorithms, evaluation and real-life applications Discusses distance-analysis, geometry, topology, scale and symmetry-analysis in the context of object understanding and analysis using medial axis and skeletonization

Computer Vision for Assistive Healthcare

Computer Vision for Assistive Healthcare Book
Author : Leo Marco,Giovanni Maria Farinella
Publisher : Academic Press
Release : 2018-05-15
ISBN : 0128134461
Language : En, Es, Fr & De

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Book Description :

Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs, such as mental functioning, personal mobility, sensory functions, daily living activities, image processing, pattern recognition, machine learning and how language processing and computer graphics cooperate with robotics to provide such tools. Users will learn about the emerging computer vision techniques for supporting mental functioning, algorithms for analyzing human behavior, and how smart interfaces and virtual reality tools lead to the development of advanced rehabilitation systems able to perform human action and activity recognition. In addition, the book covers the technology behind intelligent wheelchairs, how computer vision technologies have the potential to assist blind people, and about the computer vision-based solutions recently employed for safety and health monitoring. Gives the state-of-the-art computer vision techniques and tools for assistive healthcare Includes a broad range of topic areas, ranging from image processing, pattern recognition, machine learning to robotics, natural language processing and computer graphics Presents a wide range of application areas, ranging from mobility, sensory substitution, and safety and security, to mental and physical rehabilitation and training Written by leading researchers in this growing field of research Describes the outstanding research challenges that still need to be tackled, giving researchers good indicators of research opportunities

Vision Models for High Dynamic Range and Wide Colour Gamut Imaging

Vision Models for High Dynamic Range and Wide Colour Gamut Imaging Book
Author : Marcelo Bertalmío
Publisher : Academic Press
Release : 2019-11-06
ISBN : 0128138955
Language : En, Es, Fr & De

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Book Description :

To enhance the overall viewing experience (for cinema, TV, games, AR/VR) the media industry is continuously striving to improve image quality. Currently the emphasis is on High Dynamic Range (HDR) and Wide Colour Gamut (WCG) technologies, which yield images with greater contrast and more vivid colours. The uptake of these technologies, however, has been hampered by the significant challenge of understanding the science behind visual perception. Vision Models for High Dynamic Range and Wide Colour Gamut Imaging provides university researchers and graduate students in computer science, computer engineering, vision science, as well as industry R&D engineers, an insight into the science and methods for HDR and WCG. It presents the underlying principles and latest practical methods in a detailed and accessible way, highlighting how the use of vision models is a key element of all state-of-the-art methods for these emerging technologies. Presents the underlying vision science principles and models that are essential to the emerging technologies of HDR and WCG Explores state-of-the-art techniques for tone and gamut mapping Discusses open challenges and future directions of HDR and WCG research