Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Computer Vision and Pattern Recognition) [Hardcover] price

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From the reviews: "It is in this context the current text--a number of research papers on cutting-edge infrared technology applications and processing--is most welcome. … The book contains 18 chapters split into seven parts. Impressively, many figures and photographs populate the entire text. These serve to produce each chapter better to comprehend. … These 18 chapters augment the research of visual perception in infrared imaging. They represent the serious research that's currently being conducted on this field." (Minette Carl, ACM Computing Reviews, July, 2009) “‘A comprehensive report on recent deployment of infrared sensors in modern applications of computer vision, as well as in-depth description of the world’s best machine vision algorithms and intelligent analytics’. … There are some very instructive chapters that may be taught in an advanced graduate course. … chapters can be found to readers of most levels … and several proposals provide specifics of very specific at exactly the same time as complex methodologies.” (Antonio Fernández Caballero, International Association for Pattern Recognition, Vol. 32 (3), July, 2010)

Spurred by security and safety challenges, research efforts in thermographic sensors have advanced greatly, causing better performance in remote surveillance, object recognition, guidance therefore on. This comprehensive survey offers a thorough account from the recent deployment of infrared sensors in modern applications of computer vision, as well as in-depth descriptions with the world’s best machine vision algorithms and intelligent analytics. The book can help readers see the motivations, activities, trends and directions of researchers and engineers inside machine-perception field, and offers them a view with the future in this rapidly evolving area. Features: • Offers an up-to-date and in-depth coverage of theoretical and experimental work in sub-areas of machine perception in infrared, thermal, hyperspectral, intensified and laser imagery • Highlights new trends and directions inside the field of applied machine vision *beyond* the visible spectrum • Covers applications including homeland security, public transportation, surveillance, medical and military • Emphasizes the merging of machine perception applications and non-visual imaging in intensified, near infrared, thermal infrared, laser, polarimetric and hyperspectral bands • Presents advanced techniques for identifying unique infrared signatures and classifying small-resolution objects above and under the soil • Focuses on describing successful non-contact, thermal video analysis methodologies to compute vital-signs measurements on the human face, neck and breast • Deals with automatic moving-object detection in airborne, low-resolution near-infrared and thermal videos • Illustrates fusion and registration techniques of multiple disparate multi-channel visible and thermal sensors for accurate image segmentation • Discusses multi-target tracking using laser and infrared sensors, too as augmented human-computer interaction using infrared eye tracking. • Provides a critical analysis of state-of-the-art techniques within the field of computer vision, including comparison of existing methods and benchmarking This practical and broad-ranging text offers researchers, advanced students and software engineers alike a thorough understanding in the theory and experimental field-operational characteristics of key algorithmic foundations of computer vision systems, using non-visual infrared imagery. It contains enough material for any two-semester upper-division or advanced graduate course on topics associated with machine vision and its particular applications. Dr Riad Ibrahim Hammoud is a Senior Research Scientist at Delphi Electronics & Safety as well as the successful Springer author of the following books: Passive Eye Monitoring, Face Biometrics for Personal Identification, and Interactive Video.