Methods And Techniques For Fire Detection
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|Author||: A. Enis Cetin,Bart Merci,Osman Günay,Behçet Ugur Töreyin,Steven Verstockt|
|Publsiher||: Academic Press|
|Total Pages||: 95|
|Genre||: Technology & Engineering|
Download Methods and Techniques for Fire Detection Book in PDF, Epub and Kindle
This book describes the signal, image and video processing methods and techniques for fire detection and provides a thorough and practical overview of this important subject, as a number of new methods are emerging. This book will serve as a reference for signal processing and computer vision, focusing on fire detection and methods for volume sensors. Applications covered in this book can easily be adapted to other domains, such as multi-modal object recognition in other safety and security problems, with scientific importance for fire detection, as well as video surveillance. Coverage includes: Camera Based Techniques Multi-modal/Multi-sensor fire analysis Pyro-electric Infrared Sensors for Flame Detection Large scale fire experiments Wildfire detection from moving aerial platforms The basics of signal, image and video processing based fire detection The latest fire detection methods and techniques using computer vision Non-conventional fire detectors: Fire detection using volumetric sensors Recent large-scale fire experiments and their results New and emerging technologies and areas for further research
|Author||: Giacomo Boracchi,Lazaros Iliadis,Chrisina Jayne,Aristidis Likas|
|Total Pages||: 737|
Download Engineering Applications of Neural Networks Book in PDF, Epub and Kindle
This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017. The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).
|Author||: Management Association, Information Resources|
|Publsiher||: IGI Global|
|Total Pages||: 1862|
|Genre||: Technology & Engineering|
Download Crisis Management Concepts Methodologies Tools and Applications Book in PDF, Epub and Kindle
"This book explores the latest empirical research and best real-world practices for preventing, weathering, and recovering from disasters such as earthquakes or tsunamis to nuclear disasters and cyber terrorism"--Provided by publisher.
|Author||: Mahmoud Hassaballah,Ali Ismail Awad|
|Publsiher||: CRC Press|
|Total Pages||: 322|
Download Deep Learning in Computer Vision Book in PDF, Epub and Kindle
Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.
|Author||: Ajay Divakaran|
|Publsiher||: Springer Science & Business Media|
|Total Pages||: 375|
Download Multimedia Content Analysis Book in PDF, Epub and Kindle
Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.