Computer Vision Accv 2012 Workshops

Author: Jong-Il Park
Editor: Springer
ISBN: 3642374840
Size: 14,42 MB
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The two volume set, consisting of LNCS 7728 and 7729, contains the carefully reviewed and selected papers presented at the nine workshops that were held in conjunction with the 11th Asian Conference on Computer Vision, ACCV 2012, in Daejeon, South Korea, in November 2012. From a total of 310 papers submitted, 78 were selected for presentation. LNCS 7728 contains the papers selected for the International Workshop on Computer Vision with Local Binary Pattern Variants, the Workshop on Computational Photography and Low-Level Vision, the Workshop on Developer-Centered Computer Vision, and the Workshop on Background Models Challenge. LNCS 7729 contains the papers selected for the Workshop on e-Heritage, the Workshop on Color Depth Fusion in Computer Vision, the Workshop on Face Analysis, the Workshop on Detection and Tracking in Challenging Environments, and the International Workshop on Intelligent Mobile Vision.

Computer Vision Accv 2012

Author: Kyoung Mu Lee
Editor: Springer
ISBN: 3642374441
Size: 12,49 MB
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The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

Computer Vision U2013 Accv 2012

Author: Kyoung Mu Lee
Editor:
ISBN:
Size: 14,88 MB
Format: PDF, Kindle
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The four-volume set LNCS 7724--7727 constitutes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869 submissions. The papers are organized in topical sections on object detection, learning and matching; object recognition; feature, representation, and recognition; segmentation, grouping, and classification; image representation; image and video retrieval and medical image analysis; face and gesture analysis and recognition; optical flow and tracking; motion, tracking, and computational photography; video analysis and action recognition; shape reconstruction and optimization; shape from X and photometry; applications of computer vision; low-level vision and applications of computer vision.

Background Modeling And Foreground Detection For Video Surveillance

Author: Thierry Bouwmans
Editor: CRC Press
ISBN: 1482205386
Size: 14,10 MB
Format: PDF, Kindle
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Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements. Incorporating both established and new ideas, Background Modeling and Foreground Detection for Video Surveillance provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. Leaders in the field address a wide range of challenges, including camera jitter and background subtraction. The book presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. It also addresses sensors, hardware, and implementation issues and discusses the resources and datasets required for evaluating and comparing background subtraction algorithms. The datasets and codes used in the text, along with links to software demonstrations, are available on the book’s website. A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps researchers and industry developers understand how to apply background models and foreground detection methods to video surveillance and related areas, such as optical motion capture, multimedia applications, teleconferencing, video editing, and human–computer interfaces. It can also be used in graduate courses on computer vision, image processing, real-time architecture, machine learning, or data mining.

Computer Vision In Vehicle Technology

Author: Antonio M. López
Editor: John Wiley & Sons
ISBN: 1118868072
Size: 18,65 MB
Format: PDF, ePub, Mobi
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A unified view of the use of computer vision technology for different types of vehicles Computer Vision in Vehicle Technology focuses on computer vision as on-board technology, bringing together fields of research where computer vision is progressively penetrating: the automotive sector, unmanned aerial and underwater vehicles. It also serves as a reference for researchers of current developments and challenges in areas of the application of computer vision, involving vehicles such as advanced driver assistance (pedestrian detection, lane departure warning, traffic sign recognition), autonomous driving and robot navigation (with visual simultaneous localization and mapping) or unmanned aerial vehicles (obstacle avoidance, landscape classification and mapping, fire risk assessment). The overall role of computer vision for the navigation of different vehicles, as well as technology to address on-board applications, is analysed. Key features: Presents the latest advances in the field of computer vision and vehicle technologies in a highly informative and understandable way, including the basic mathematics for each problem. Provides a comprehensive summary of the state of the art computer vision techniques in vehicles from the navigation and the addressable applications points of view. Offers a detailed description of the open challenges and business opportunities for the immediate future in the field of vision based vehicle technologies. This is essential reading for computer vision researchers, as well as engineers working in vehicle technologies, and students of computer vision.

A Guide To Convolutional Neural Networks For Computer Vision

Author: Salman Khan
Editor: Morgan & Claypool Publishers
ISBN: 1681730227
Size: 12,50 MB
Format: PDF, ePub
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Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs. The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation. This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models.

Itil 2011 At A Glance

Author: John O. Long
Editor: Springer Science & Business Media
ISBN: 1461438977
Size: 11,82 MB
Format: PDF
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"ITIL® 2011 At a Glance" is an important update to the internationally-recognized ITIL® best practices for IT Service Management. "ITIL® 2011 At a Glance" provides graphical and textual memory joggers for the primary concepts of those best practices. IT organizations worldwide are implementing ITIL® as a vehicle for improving IT service quality and improve return on investment for IT services. This book is an update based on the ITIL 2011 Update. The desk reference’s unique graphical approach will take otherwise complex textual descriptions and make the information accessible in a series of consistent, simple diagrams. "ITIL® 2011 At a Glance" will be of interest to organizations looking to train their staffs in a consistent and cost-effective way. Further, this book is ideal for anyone involved in planning consulting, implementing, or testing an ITIL® implementation.

Yearbook Of International Organizations 2012 2013

Author: Union of International Associations
Editor: Brill Academic Pub
ISBN: 9789004231733
Size: 20,33 MB
Format: PDF, ePub
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The Yearbook of International Organizations provides the most extensive coverage of non-profit international organizations currently available. Detailed profiles of international non-governmental and intergovernmental organizations (IGO), collected and documented by the Union of International Associations, can be found here. In addition to the history, aims and acitvities of international organizations, with their events, publications and contact details, the volumes of the Yearbook include networks between associations, biographies of key people involved and extensive statistical data. Volume 3 allows readers to locate organizations by subjects or by fields of activity and specialization, and includes an index to Volumes 1 through 3.

Directory Of Published Proceedings

Author:
Editor:
ISBN:
Size: 19,72 MB
Format: PDF, Kindle
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Cardiovascular Imaging

Author: Johan H. C. Reiber
Editor: Springer Science & Business Media
ISBN: 9400902913
Size: 10,92 MB
Format: PDF, ePub
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In the past, coronary arteriography was the only modality available to provide high quality images of the coronary anatomy. Quantitative coronary arteriography (QCA) was developed, implemented, validated and extensively applied to obtain accurate and reproducible data about coronary morphology and the functional significance of coronary obstructions. Over the last few years extensive basic technological research supported by clinical investigations has created competing modalities to visualize coronary morphology and the associated perfusion of the myocardial muscle. Currently, the following modalities are available: X-ray coronary arteriography, intracoronary ultrasound, contrast- and stress-echocardiography, angioscopy, nuclear cardiology, magnetic resonance imaging, and cine and spiral CT imaging. For all these imaging modalities, the application of dedicated quantitative analytical software packages enables the evaluation of the imaging studies in a more accurate, reliable, and reproducible manner. These extensions and achievements have resulted in improved diagnostics and subsequently in improved patient care. Particularly in patients with ischaemic heart disease, major progress has been made to detect coronary artery disease in an early phase of the disease process, to follow the atherosclerotic changes in the coronary arteries, to establish the functional and metabolic consequences of the luminal obstructions, and accurately to assess the results of interventional therapy. Aside from all these high-tech developments in cardiac imaging techniques, the transition from the analogue to the digital world has been going on for some time now. For the future, it has been predicted that the CD-R will be the exchange medium for cardiac images and DICOM-3 the standard file format. This has been a major achievement in the field of standardization activities. Since these developments will have a major impact on the way images will be stored, reviewed and exchanged in the near future, an important part of this book has been dedicated to DICOM and the filmless catheterization laboratory. Cardiovascular Imaging will assist cardiologists, radiologists, nuclear medicine physicians, image processing specialists, physicists, basic scientists, and fellows in training for these specialties to understand the most recent achievements in cardiac imaging techniques and their impact on cardiovascular medicine.