Overview
- Provides a critical analysis of state of the art techniques, in the field of computer vision including comparison of existing methods and benchmarking
- Highlights new trends and directions in the field of applied machine vision ‘beyond’ the visible spectrum
- Offers an up-to-date and in-depth coverage of theoretical and experimental work in sub-areas of machine perception in infrared, thermal, multi-spectral, and optical imagery
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (18 chapters)
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Low-Resolution Object Detection in Airborne Infrared Videos
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Multimodal Imagery Fusion for Human Localization and Tracking
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Real-Time Detection and Tracking of Multiple People in Laser Scan
Keywords
About this book
Reviews
From the reviews:
"It is in this context that the current text--a collection of research papers on cutting-edge infrared technology applications and processing--is most welcome. … The book contains 18 chapters divided into seven parts. Impressively, a multitude of figures and pictures populate the entire text. These serve to make each chapter easier to comprehend. … These 18 chapters augment the research of visual perception in infrared imaging. They represent the serious research that is currently being conducted in this field." (Minette Carl, ACM Computing Reviews, July, 2009)
“‘A comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world’s best machine vision algorithms and intelligent analytics’. … There are some very instructive chapters that could be taught in an advanced graduate course. … chapters are accessible to readers of all levels … and some proposals provide detailsof very specific as well as complex methodologies.” (Antonio Fernández Caballero, International Association for Pattern Recognition, Vol. 32 (3), July, 2010)
Editors and Affiliations
Bibliographic Information
Book Title: Augmented Vision Perception in Infrared
Book Subtitle: Algorithms and Applied Systems
Editors: Riad I. Hammoud
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84800-277-7
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84800-276-0Published: 15 January 2009
Softcover ISBN: 978-1-4471-5697-0Published: 04 November 2014
eBook ISBN: 978-1-84800-277-7Published: 01 January 2009
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XXVI, 471
Topics: Optics, Lasers, Photonics, Optical Devices, Image Processing and Computer Vision, Pattern Recognition, Biometrics, Computational Intelligence
Industry Sectors: Aerospace, Electronics, Energy, Utilities & Environment, IT & Software, Telecommunications