Learning To Analyze What Is Beyond The Visible Spectrum
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Learning To Analyze What Is Beyond The Visible Spectrum
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Author : Amanda Berg
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-11-13
Learning To Analyze What Is Beyond The Visible Spectrum written by Amanda Berg and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with categories.
Thermal cameras have historically been of interest mainly for military applications. Increasing image quality and resolution combined with decreasing camera price and size during recent years have, however, opened up new application areas. They are now widely used for civilian applications, e.g., within industry, to search for missing persons, in automotive safety, as well as for medical applications. Thermal cameras are useful as soon as there exists a measurable temperature difference. Compared to cameras operating in the visual spectrum, they are advantageous due to their ability to see in total darkness, robustness to illumination variations, and less intrusion on privacy. This thesis addresses the problem of automatic image analysis in thermal infrared images with a focus on machine learning methods. The main purpose of this thesis is to study the variations of processing required due to the thermal infrared data modality. In particular, three different problems are addressed: visual object tracking, anomaly detection, and modality transfer. All these are research areas that have been and currently are subject to extensive research. Furthermore, they are all highly relevant for a number of different real-world applications. The first addressed problem is visual object tracking, a problem for which no prior information other than the initial location of the object is given. The main contribution concerns benchmarking of short-term single-object (STSO) visual object tracking methods in thermal infrared images. The proposed dataset, LTIR (Linköping Thermal Infrared), was integrated in the VOT-TIR2015 challenge, introducing the first ever organized challenge on STSO tracking in thermal infrared video. Another contribution also related to benchmarking is a novel, recursive, method for semi-automatic annotation of multi-modal video sequences. Based on only a few initial annotations, a video object segmentation (VOS) method proposes segmentations for all remaining frames and difficult parts in need for additional manual annotation are automatically detected. The third contribution to the problem of visual object tracking is a template tracking method based on a non-parametric probability density model of the object's thermal radiation using channel representations. The second addressed problem is anomaly detection, i.e., detection of rare objects or events. The main contribution is a method for truly unsupervised anomaly detection based on Generative Adversarial Networks (GANs). The method employs joint training of the generator and an observation to latent space encoder, enabling stratification of the latent space and, thus, also separation of normal and anomalous samples. The second contribution is the previously unaddressed problem of obstacle detection in front of moving trains using a train-mounted thermal camera. Adaptive correlation filters are updated continuously and missed detections of background are treated as detections of anomalies, or obstacles. The third contribution to the problem of anomaly detection is a method for characterization and classification of automatically detected district heat leakages for the purpose of false alarm reduction. Finally, the thesis addresses the problem of modality transfer between thermal infrared and visual spectrum images, a previously unaddressed problem. The contribution is a method based on Convolutional Neural Networks (CNNs), enabling perceptually realistic transformations of thermal infrared to visual images. By careful design of the loss function the method becomes robust to image pair misalignments. The method exploits the lower acuity for color differences than for luminance possessed by the human visual system, separating the loss into a luminance and a chrominance part.
Learning Geospatial Analysis With Python
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Author : Joel Lawhead
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-09-27
Learning Geospatial Analysis With Python written by Joel Lawhead and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applications Key Features Create GIS solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to automate geospatial analysis workflows using Python and Jupyter Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. With this systematic guide, you'll get started with geographic information system (GIS) and remote sensing analysis using the latest features in Python. This book will take you through GIS techniques, geodatabases, geospatial raster data, and much more using the latest built-in tools and libraries in Python 3.7. You'll learn everything you need to know about using software packages or APIs and generic algorithms that can be used for different situations. Furthermore, you'll learn how to apply simple Python GIS geospatial processes to a variety of problems, and work with remote sensing data. By the end of the book, you'll be able to build a generic corporate system, which can be implemented in any organization to manage customer support requests and field support personnel.What you will learn Automate geospatial analysis workflows using Python Code the simplest possible GIS in just 60 lines of Python Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Understand the different formats that geospatial data comes in Produce elevation contours using Python tools Create flood inundation models Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.
Deep Learning Applications In Image Analysis
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Author : Sanjiban Sekhar Roy
language : en
Publisher: Springer Nature
Release Date : 2023-07-08
Deep Learning Applications In Image Analysis written by Sanjiban Sekhar Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-08 with Technology & Engineering categories.
This book provides state-of-the-art coverage of deep learning applications in image analysis. The book demonstrates various deep learning algorithms that can offer practical solutions for various image-related problems; also how these algorithms are used by scientists and scholars in industry and academia. This includes autoencoder and deep convolutional generative adversarial network in improving classification performance of Bangla handwritten characters, dealing with deep learning-based approaches using feature selection methods for automatic diagnosis of covid-19 disease from x-ray images, imbalance image data sets of classification, image captioning using deep transfer learning, developing a vehicle over speed detection system, creating an intelligent system for video-based proximity analysis, building a melanoma cancer detection system using deep learning, plant diseases classification using AlexNet, dealing with hyperspectral images using deep learning, chest x-ray image classification of pneumonia disease using efficient net and inceptionv3. The book also addresses the difficulty of implementing deep learning in terms of computation time and the complexity of reasoning and modelling different types of data where information is currently encoded. Each chapter has the application of various new or existing deep learning models such as Deep Neural Network (DNN) and Deep Convolutional Neural Networks (DCNN). The detailed utilization of deep learning packages that are available in MATLAB, Python and R programming environments have also been discussed, therefore, the readers will get to know about the practical implementation of deep learning as well. The content of this book is presented in a simple and lucid style for professionals, nonprofessionals, scientists, and students interested in the research area of deep learning applications in image analysis.
Cyber Physical Computer And Automation System
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Author : Endra Joelianto
language : en
Publisher: Springer Nature
Release Date : 2021-03-22
Cyber Physical Computer And Automation System written by Endra Joelianto and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-22 with Technology & Engineering categories.
This book is a collection of extended papers presented at the Cyber Physical, Computer and Automation System (CPCAS 2019), Bali – Indonesia, 13–15 November 2019. The book includes chapters in three prime areas: (1) autonomous systems and controls; (2) human–machine interaction and human-related engineering; and (3) interconnected things. Autonomous systems and controls are systems of engineering that work with or without human intervention. Human–machine interaction involves sensor and actuator technology to detect human behavior, intentions, and decisions and also to provide the ability of a machine to interact with humans to achieve the expected performance. Interconnected things consist of a network of computer-controlled physical mechanisms communicating with each other for efficient operation and improving system capabilities.
Machine Learning For Human Motion Analysis Theory And Practice
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Author : Wang, Liang
language : en
Publisher: IGI Global
Release Date : 2009-12-31
Machine Learning For Human Motion Analysis Theory And Practice written by Wang, Liang and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12-31 with Computers categories.
"This book highlights the development of robust and effective vision-based motion understanding systems, addressing specific vision applications such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval"--Provided by publisher.
Xlvi Mexican Conference On Biomedical Engineering
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Author : José de Jesús Agustín Flores Cuautle
language : en
Publisher: Springer Nature
Release Date : 2023-10-25
Xlvi Mexican Conference On Biomedical Engineering written by José de Jesús Agustín Flores Cuautle and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-25 with Technology & Engineering categories.
This book reports on cutting-edge research and best practices in the broad fiel of biomedical engineering. Based on the XLVI Mexican Congress on Biomedical Engineering, CNIB 2023, held on November 2-4, 2023 in Villahermosa Tabasco, Mexico, this first volume of the proceedings covers research topics in biomedical signals and image processing, artificial intelligence, biosensors, and wearable systems, with applications ranging from disease classification and diagnosis, to health monitoring and medical therapy. All in all, this book provides a timely snapshot on state-of-the-art achievements in biomedical engineering and current challenges in the field. It addresses both researchers and professionals, and it is expect to foster future collaborations between the two groups, as well as international collaborations. .
Learning From The Covid 19 Pandemic
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Author : RC Sobti
language : en
Publisher: CRC Press
Release Date : 2023-08-24
Learning From The Covid 19 Pandemic written by RC Sobti and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-24 with Medical categories.
COVID-19 is a highly contagious viral illness caused by severe acute respiratory syndrome SARSCoV-2. It has had a devastating effect on the world’s demographics with high morbidity and mortality worldwide. After the influenza pandemic of 1918, it has emerged as the most consequential global health crisis. After the first cases of this predominantly respiratory viral illness were first reported in Wuhan, Hubei Province, China, in late December 2019, SARS-CoV- 2 rapidly disseminated across the world in a short span of time, compelling the World Health Organization (WHO) to declare it a global pandemic on March 11, 2020. The outbreak of COVID-19 has proven to be a worldwide unprecedented disaster. It has physically, psychologically, socially, and economically afflicted billions of people across the globe. Its transmission is significantly high. Serious postrecovery has been noticed in a large number of people. The virus is highly mutable and new and new strains are appearing, and many of them such as delta, BA1 and BA2 subvariants as well as their hybrids have been considered by the WHO as concerning. The virus has exhibited deleterious impacts on bodily systems other than the respiratory system (primary target) such as the brain, hematological system, liver, kidneys, endocrine system, etc. Right after its declaration as a pandemic by the WHO in March 2020, governments in various countries declared lockdowns to combat the spread of disease, causing major disruption to the lives of billions of people. Besides the impact on health and healthcare systems, education was changed with the introduction of online and or hybrid systems to help students continue to learn. Though the pandemic has subsided now, the emergence of new variants continues and lifestyle changes such as online learning and work from home have continued. Researchers who successfully mitigated the negative impact of social media and effectively used it for acceptance of medicinal or non-medicinal measures during pandemics by developing a realtime information sharing system and assembling a multidisciplinary team of experts to collect and analyze data from a variety of social media platforms across the global diaspora to better understand people’s perceptions and attitudes, as well as to spot early warning signs of error and correct them before they proliferate. They also emphasized the necessity of addressing people’s perceptions in order to increase awareness and education, so that social media may be used to promote public trust collaboration, and improved adherence to epidemic control measures. In totality the pandemic affected the environment and ecosystem as a whole positively due to a decrease in vehicles on roads and less movement of persons from one place to another. However, medical waste was increased and new measures were needed to handle it. People have had to change their habits in everyday life in order to live with the pandemic and protect themselves and others. This volume focuses on the implications of COVID-19 on education, environment, and lifestyle. It includes chapters on the transformation of education systems and introduction of hybrid modes of education, impact on environment, management of solid wastes, and development of innovative gadgets and architectural designs to help deal with the pandemic. Other chapters cover diet, family systems, and adoption of new norms in pandemic times. This book will be a valued resource for students, teachers, and researchers of social science and science as well as public health workers.
Computer Analysis Of Images And Patterns
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Author : Michael Felsberg
language : en
Publisher: Springer
Release Date : 2017-08-08
Computer Analysis Of Images And Patterns written by Michael Felsberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-08 with Computers categories.
The two volume set LNCS 10424 and 10425 constitutes the refereed proceedings of the 17th International Conference on Computer Analysis of Images and Patterns, CAIP 2017, held in Ystad, Sweden, in August 2017. The 72 papers presented were carefully reviewed and selected from 144 submissions The papers are organized in the following topical sections: Vision for Robotics; Motion and Tracking; Segmentation; Image/Video Indexing and Retrieval; Shape Representation and Analysis; Biomedical Image Analysis; Biometrics; Machine Learning; Image Restoration; and Poster Sessions.
Spectrum Analysis
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Author : Henry Enfield Roscoe
language : en
Publisher:
Release Date : 1870
Spectrum Analysis written by Henry Enfield Roscoe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1870 with Spectrum analysis categories.
Spectrum Analysis Six Lectures Delivered In 1868 Before The Society Of Apothecaries Of London
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Author : Henry Enfield Roscoe
language : en
Publisher:
Release Date : 1873
Spectrum Analysis Six Lectures Delivered In 1868 Before The Society Of Apothecaries Of London written by Henry Enfield Roscoe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1873 with Spectrum analysis categories.