Augmented Vision Perception in Infrared

Algorithms and Applied Systems
2009
ISBN: 978-1-4471-5697-0
Verlag: Springer

Buch, Englisch, 471 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 750 g

Reihe: Advances in Computer Vision and Pattern Recognition

Throughout much of machine vision’s early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts. Recently, the ?scal momentum has switched in favor of both manufacturers and practitioners of infrared technology as a result of today’s rising security and safety challenges and advances in thermographic sensors and their continuous drop in costs. This yielded a great impetus in achieving ever better performance in remote surveillance, object recognition, guidance, noncontact medical measurements, and more. The purpose of this book is to draw attention to recent successful efforts made on merging computer vision applications (nonmilitary only) and nonvisual imagery, as well as to ?ll in the need in the literature for an up-to-date convenient reference on machine vision and infrared technologies. Augmented Perception in Infrared provides 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 intel- gent analytics. Its topics encompass many disciplines of machine vision, including remote sensing, automatic target detection and recognition, background modeling and image segmentation, object tracking, face and facial expression recognition, - variant shape characterization, disparate sensors fusion, noncontact physiological measurements, night vision, and target classi?cation. Its application scope includes homeland security, public transportation, surveillance, medical, and military. Mo- over, this book emphasizes the merging of the aforementioned machine perception applications and nonvisual imaging in intensi?ed, near infrared, thermal infrared, laser, polarimetric, and hyperspectral bands.

Zielgruppe

Research

Autoren/Hrsg.

Hammoud, Riad I.

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Angewandte Optik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation

Inhaltsverzeichnis

Infrared Signatures and Classification.- Infrared Thermography for Land Mine Detection.- Passive Polarimetric Information Processing for Target Classification.- Vehicle Classification in Infrared Video Using the Sequential Probability Ratio Test.- Thermal Imagery & Vital Sign Detection.- Multiresolution Approach for Noncontact Measurements of Arterial Pulse Using Thermal Imaging.- Coalitional Tracker for Deception Detection in Thermal Imagery.- Thermal Infrared Imaging in Early Breast Cancer Detection.- Hyperspectral Imagery.- Hyperspectral Image Analysis for Skin Tumor Detection.- Spectral Screened Orthogonal Subspace Projection for Target Detection in Hyperspectral Imagery.- Hyperspectral Imagery.- Face Recognition in Low-Light Environments Using Fusion of Thermal Infrared and Intensified Imagery.- Facial Expression Recognition in Nonvisual Imagery.- Low-Resolution Object Detection in Airborne Infrared Videos.- Runway Positioning and Moving Object Detection Prior to Landing.- MovingObject Localization in Thermal Imagery by Forward-Backward Motion History Images.- Multimodal Imagery Fusion for Human Localization and Tracking.- Feature-Level Fusion for Object Segmentation Using Mutual Information.- Registering Multimodal Imagery with Occluding Objects Using Mutual Information: Application to Stereo Tracking of Humans.- Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Motion Analysis and Classification.- Multi Stereo-Based Pedestrian Detection by Daylight and Far-Infrared Cameras.- Real-Time Detection and Tracking of Multiple People in Laser Scan.- Real-Time Detection and Tracking of Multiple People in Laser Scan Frames.- On Boosted and Adaptive Particle Filters for Affine-Invariant Target Tracking in Infrared Imagery.