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Other titles in the Advances in Pattern Recognition series:

Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Pattern Recognition)

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Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Pattern Recognition) Cover

 

Synopses & Reviews

Publisher Comments:

Spurred by security and safety challenges, research efforts in thermographic sensors have advanced greatly, resulting in better performance in remote surveillance, object recognition, guidance and so on. This comprehensive survey provides a thorough account of the recent deployment of infrared sensors in modern applications of computer vision, as well as in-depth descriptions of the world's best machine vision algorithms and intelligent analytics. The book will help readers understand the motivations, activities, trends and directions of researchers and engineers in the machine-perception field, and offers them a view of 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 in 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, as well as augmented human-computer interaction using infrared eye tracking. • Provides a critical analysis of state-of-the-art techniques in 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 of the theory and experimental field-operational characteristics of key algorithmic building blocks of computer vision systems, using non-visual infrared imagery. It contains enough material for a two-semester upper-division or advanced graduate course on topics related to machine vision and its applications. Dr Riad Ibrahim Hammoud is a Senior Research Scientist at Delphi Electronics & Safety and also the successful Springer author of the following books: Passive Eye Monitoring, Face Biometrics for Personal Identification, and Interactive Video.

Synopsis:

This practical text offers researchers and software engineers a thorough understanding of how core low-level building blocks of machine perception systems are implemented. It includes in-depth coverage of state-of-the-art perception algorithms and experiments.

Synopsis:

This book covers theoretical and experimental work in sub-areas of machine perception and is structured into 4 parts. The first part presents novel methodologies to extract unique thermal infrared signatures to uniquely represent targets in multi-spectral and infrared scenes. The second part tackles problems related to rapid gain change in thermal imagery, background estimation, detection of pedestrians, robust multimodal image registration and object segmentation, and finally automatic detection of low-resolution moving objects. Part three addresses face and facial expression recognition in low-light environments. The last part focuses on Multi-Sensory and Multi-Modal Target Tracking. This practical reference offers researchers, students and software engineers a thorough understanding of how core low-level building blocks of a machine perception system are implemented. Readers will find in-depth coverage of recent state-of-the-art perception algorithms and experiments.

Table of Contents

From the contents Infrared thermography for landmine detection.- Thermal Infrared Imaging in Early Breast Cancer Detection - Spectral Screened Orthogonal Subspace Projection for Target Detection in Hyperspectral Imagery.- Moving Object Localization in Thermal Imagery by Forward-backward MHI.- Multi Stereo-based Pedestrian Detection by means of Daylight and Far Infrared Cameras.- Feature-level Fusion for Object Segmentation using Mutual Information.- Face Recognition in Low-Light Environments Using Fusion of Thermal Infrared and Intensified Imagery.- Facial Expression Recognition Beyond the Human Visual Spectrum.- Vehicle Classification in Infrared Video using the Sequential Probability Ratio Test.- Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Motion Analysis and Classification.- On Boosted and Adaptive Particle Filters for Affine-Invariant Target Tracking in infrared imagery.- Real-time Detection and Tracking of Multiple People in Laser Scan Frames.

Product Details

ISBN:
9781848002760
Author:
Hammoud, Riad I.
Publisher:
Springer
Editor:
Singh, Sameer
Editor:
Singh, S.
Subject:
Computer Graphics - Image Processing
Subject:
Computer Vision
Subject:
Security - General
Subject:
Image processing
Subject:
Pattern recognition systems
Subject:
Automatic Target Recognition
Subject:
Background Modeling
Subject:
Electro-magnetic Spectrum
Subject:
Facial Expression Recognition
Subject:
Machine Vision / Perception
Subject:
Multi-modal Tracking
Subject:
Multi-sensory Recognition
Subject:
object tracking
Subject:
pattern analysis
Subject:
Pattern classification
Subject:
Pedestrian Detection
Subject:
personal identification
Subject:
Sensor Fusion
Subject:
Target Classification
Subject:
Thermal Infrared Imagery
Subject:
Thermal Infrared Signature
Subject:
Vehicle Classification
Subject:
video analysis
Subject:
Image Processing and Computer Vision
Subject:
Pattern recognition.
Subject:
biometrics
Subject:
Computational intelligence
Subject:
Graphics-Image Processing
Subject:
Computer Graphics - General
Edition Description:
2009
Series:
Advances in Computer Vision and Pattern Recognition
Series Volume:
Algorithms and Appli
Publication Date:
20090131
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
497
Dimensions:
235 x 155 mm

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Graphics » Image Processing
Computers and Internet » Networking » Computer Security

Augmented Vision Perception in Infrared: Algorithms and Applied Systems (Advances in Pattern Recognition) New Hardcover
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$180.25 In Stock
Product details 497 pages Springer - English 9781848002760 Reviews:
"Synopsis" by , This practical text offers researchers and software engineers a thorough understanding of how core low-level building blocks of machine perception systems are implemented. It includes in-depth coverage of state-of-the-art perception algorithms and experiments.
"Synopsis" by , This book covers theoretical and experimental work in sub-areas of machine perception and is structured into 4 parts. The first part presents novel methodologies to extract unique thermal infrared signatures to uniquely represent targets in multi-spectral and infrared scenes. The second part tackles problems related to rapid gain change in thermal imagery, background estimation, detection of pedestrians, robust multimodal image registration and object segmentation, and finally automatic detection of low-resolution moving objects. Part three addresses face and facial expression recognition in low-light environments. The last part focuses on Multi-Sensory and Multi-Modal Target Tracking. This practical reference offers researchers, students and software engineers a thorough understanding of how core low-level building blocks of a machine perception system are implemented. Readers will find in-depth coverage of recent state-of-the-art perception algorithms and experiments.
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