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Human Centric Visual Analysis With Deep Learning


Human Centric Visual Analysis With Deep Learning
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Human Centric Visual Analysis With Deep Learning


Human Centric Visual Analysis With Deep Learning
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Author : Liang Lin
language : en
Publisher: Springer Nature
Release Date : 2019-11-13

Human Centric Visual Analysis With Deep Learning written by Liang Lin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Computers categories.


This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions. Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding. This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.



Smart Applications And Data Analysis


Smart Applications And Data Analysis
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Author : Mohamed Hamlich
language : en
Publisher: Springer Nature
Release Date : 2020-06-04

Smart Applications And Data Analysis written by Mohamed Hamlich and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with Computers categories.


This volume constitutes refereed proceedings of the Third International Conference on Smart Applications and Data Analysis, SADASC 2020, held in Marrakesh, Morocco. Due to the COVID-19 pandemic the conference has been postponed to June 2020. The 24 full papers and 3 short papers presented were thoroughly reviewed and selected from 44 submissions. The papers are organized according to the following topics: ontologies and meta modeling; cyber physical systems and block-chains; recommender systems; machine learning based applications; combinatorial optimization; simulations and deep learning.



Learning Control


Learning Control
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Author : Dan Zhang
language : en
Publisher: Elsevier
Release Date : 2020-12-05

Learning Control written by Dan Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-05 with Technology & Engineering categories.


Learning Control: Applications in Robotics and Complex Dynamical Systems provides a foundational understanding of control theory while also introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and artificial intelligence (AI) are covered, as are foundational control theories and more established techniques such as adaptive learning control, reinforcement learning control, impedance control, and deep reinforcement control. Each chapter includes case studies and real-world applications in robotics, AI, aircraft and other vehicles and complex dynamical systems. Computational methods for control systems, particularly those used for developing AI and other machine learning techniques, are also discussed at length. - Provides foundational control theory concepts, along with advanced techniques and the latest advances in adaptive control and robotics - Introduces state-of-the-art learning-based control technologies and their applications in robotics and other complex dynamical systems - Demonstrates computational techniques for control systems - Covers iterative learning impedance control in both human-robot interaction and collaborative robots



Orthogonal Image Moments For Human Centric Visual Pattern Recognition


Orthogonal Image Moments For Human Centric Visual Pattern Recognition
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Author : S. M. Mahbubur Rahman
language : en
Publisher: Springer Nature
Release Date : 2019-10-11

Orthogonal Image Moments For Human Centric Visual Pattern Recognition written by S. M. Mahbubur Rahman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-11 with Computers categories.


Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition. The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.



Advances In Visual Computing


Advances In Visual Computing
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Author : George Bebis
language : en
Publisher: Springer Nature
Release Date : 2025-01-21

Advances In Visual Computing written by George Bebis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Computers categories.


This two-volume set LNCS 15046 and 15047 constitutes the refereed proceedings of the 17th International Symposium, ISVC 2024, held at Lake Tahoe, NV, USA, during October 21-23, 2024. The 54 (60) full papers and 12 poster papers were carefully reviewed and selected from 120 submissions. A total of 8 (13) papers were also accepted for oral presentation in special tracks from 15 submissions. The papers cover the following topical sections: Part I: Deep Learning; Computer Graphics; Video Analysis and Event Recognition; Motion and Tracking; Detection and Recognition; Visualization, and Medical Image Analysis. Part II: Segmentation; Recognition; Generalization in Visual Machine Learning; Vision and Robotics for Agriculture; Virtual Reality; Applications, and Poster.



Proceedings Of The 22nd Engineering Applications Of Neural Networks Conference


Proceedings Of The 22nd Engineering Applications Of Neural Networks Conference
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Author : Lazaros Iliadis
language : en
Publisher: Springer Nature
Release Date : 2021-06-23

Proceedings Of The 22nd Engineering Applications Of Neural Networks Conference written by Lazaros Iliadis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-23 with Technology & Engineering categories.


This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed research areas, emphasis is given in advances of machine learning (ML) focusing on the following algorithms-approaches: Augmented ML, autoencoders, adversarial neural networks, blockchain-adaptive methods, convolutional neural networks, deep learning, ensemble methods, learning-federated learning, neural networks, recurrent – long short-term memory. The application domains are related to: Anomaly detection, bio-medical AI, cyber-security, data fusion, e-learning, emotion recognition, environment, hyperspectral imaging, fraud detection, image analysis, inverse kinematics, machine vision, natural language, recommendation systems, robotics, sentiment analysis, simulation, stock market prediction.



Interpretable Artificial Intelligence A Perspective Of Granular Computing


Interpretable Artificial Intelligence A Perspective Of Granular Computing
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Author : Witold Pedrycz
language : en
Publisher: Springer Nature
Release Date : 2021-03-26

Interpretable Artificial Intelligence A Perspective Of Granular Computing written by Witold Pedrycz and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Technology & Engineering categories.


This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) – Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing. The innovative perspective established with the aid of information granules provides a high level of human centricity and transparency central to the development of AI constructs. The chapters reflect the breadth of the area and cover recent developments in the methodology, advanced algorithms and applications of XAI to visual analytics, knowledge representation, learning and interpretation. The book appeals to a broad audience including researchers and practitioners interested in gaining exposure to the rapidly growing body of knowledge in AI and intelligent systems.



Human Centered Metaverse And Digital Environments


Human Centered Metaverse And Digital Environments
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Author : Matteo Zallio
language : en
Publisher: AHFE International
Release Date : 2023-07-19

Human Centered Metaverse And Digital Environments written by Matteo Zallio and has been published by AHFE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-19 with Technology & Engineering categories.


Proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023), July 20–24, 2023, San Francisco, USA



Human Like Machine Intelligence


Human Like Machine Intelligence
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Author : Stephen Muggleton
language : en
Publisher: Oxford University Press
Release Date : 2021-07-15

Human Like Machine Intelligence written by Stephen Muggleton and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-15 with Computers categories.


In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s-2030s), and is being actively investigated in the US, Europe and China. The chapters of this book have been authored by a mixture of UK and other international specialists. Some of the key questions addressed by the Human-Like Computing programme include how AI systems might 1) explain their decisions effectively, 2) interact with human beings in natural language, 3) learn from small numbers of examples and 4) learn with minimal supervision. Solving such fundamental problems involves new foundational research in both the Psychology of perception and interaction as well as the development of novel algorithmic approaches in Artificial Intelligence.



Plenoptic Imaging And Processing


Plenoptic Imaging And Processing
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Author : Lu Fang
language : en
Publisher: Springer Nature
Release Date : 2024-10-15

Plenoptic Imaging And Processing written by Lu Fang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Computers categories.


This open access book delves into the fundamental principles and cutting-edge techniques of plenoptic imaging and processing. Derived from the Latin words "plenus" (meaning "full") and "optic," plenoptic imaging offers a transformative approach to optical imaging. Unlike conventional systems that rely solely on the pinhole camera model to capture spatial information, plenoptic imaging aims to detect and reconstruct multidimensional and multiscale information from light rays in space. Chapter 1 begins with the introduction of the basic principle of the plenoptic function and the historical development of plenoptic imaging. Next, Chapter 2 describes representative plenoptic sensing systems, including single-sensor devices with lenslet arrays, coded-aperture masks, structured camera arrays, and unstructured camera arrays. Then, Chapter 3 introduces gigapixel plenoptic sensing techniques capable of capturing large-scale dynamic scenes with extremely high resolution. Further, chapter 4 examines typical plenoptic reconstruction methods, including light-field image reconstruction, image-based, and RGBD-based geometry reconstruction. After that, chapter 5 tackles the challenges of large-scale plenoptic reconstruction by introducing sparse-view priors, high-resolution observations, and semantic information. Finally, chapter 6 discusses the frontier issues of plenoptic processing, including the gigapixel-level video dataset PANDA and corresponding visual intelligent algorithms.