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Augmented Vision Perception in Infrared

Algorithms and Applied Systems

  • Book
  • © 2009

Overview

Editors:
  1. Riad I. Hammoud

    1. Delphi Electronics & Safety Kokomo, Indiana, USA

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  • 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)

  1. Front Matter

    Pages i-xxvi
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  2. Infrared Signatures and Classification

    1. Infrared Thermography for Land Mine Detection

      • Nguyen Trung Thành, Dinh Nho Hào, Hichem Sahli
      Pages 3-36

    2. Passive Polarimetric Information Processing for Target Classification

      • Firooz Sadjadi, Farzad Sadjadi
      Pages 37-61

    3. Vehicle Classification in Infrared Video Using the Sequential Probability Ratio Test

      • Mark W. Koch, Kevin T. Malone
      Pages 63-84

  3. Thermal Imagery & Vital Sign Detection

    1. Multiresolution Approach for Noncontact Measurements of Arterial Pulse Using Thermal Imaging

      • Sergey Y. Chekmenev, Aly A. Farag, William M. Miller, Edward A. Essock, Aruni Bhatnagar
      Pages 87-112

    2. Coalitional Tracker for Deception Detection in Thermal Imagery

      • Jonathan Dowdall, Ioannis Pavlidis, Panagiotis Tsiamyrtzis
      Pages 113-137

    3. Thermal Infrared Imaging in Early Breast Cancer Detection

      • Hairong Qi, Nicholas A. Diakides
      Pages 139-152

  4. Hyperspectral Imagery

    1. Hyperspectral Image Analysis for Skin Tumor Detection

      • Seong G. Kong, Lae-Jeong Park
      Pages 155-171

    2. Spectral Screened Orthogonal Subspace Projection for Target Detection in Hyperspectral Imagery

      • Stefan A. Robila
      Pages 173-194

  5. Hyperspectral Imagery

    1. Face Recognition in Low-Light Environments Using Fusion of Thermal Infrared and Intensified Imagery

      • Diego A. Socolinsky, Lawrence B. Wolff
      Pages 197-211

    2. Facial Expression Recognition in Nonvisual Imagery

      • Gustavo Olague, Riad Hammoud, Leonardo Trujillo, Benjamín Hernández, Eva Romero
      Pages 213-239

  6. Low-Resolution Object Detection in Airborne Infrared Videos

    1. Runway Positioning and Moving Object Detection Prior to Landing

      • Rida Hamza, M Ibrahim Mohamed, Dinesh Ramegowda, Venkatagiri Rao
      Pages 243-269

    2. Moving Object Localization in Thermal Imagery by Forward-Backward Motion History Images

      • Zhaozheng Yin, Robert Collins
      Pages 271-291

  7. Multimodal Imagery Fusion for Human Localization and Tracking

    1. Feature-Level Fusion for Object Segmentation Using Mutual Information

      • Vinay Sharma, James W. Davis
      Pages 295-320

    2. Registering Multimodal Imagery with Occluding Objects Using Mutual Information: Application to Stereo Tracking of Humans

      • Stephen Krotosky, Mohan Trivedi
      Pages 321-347

    3. Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Motion Analysis and Classification

      • Yang Ran, Alex Leykin, Riad Hammoud
      Pages 349-369

    4. Multi Stereo-Based Pedestrian Detection by Daylight and Far-Infrared Cameras

      • Massimo Bertozzi, Alberto Broggi, Mirko Felisa, Stefano Ghidoni, Paolo Grisleri, Guido Vezzoni et al.
      Pages 371-401

  8. Real-Time Detection and Tracking of Multiple People in Laser Scan

    1. Real-Time Detection and Tracking of Multiple People in Laser Scan Frames

      • J. Cui, X. Song, H. Zhao, H. Zha, R. Shibasaki
      Pages 405-439

    2. On Boosted and Adaptive Particle Filters for Affine-Invariant Target Tracking in Infrared Imagery

      • Guoliang Fan, Vijay Venkataraman, Li Tang, Joseph P. Havlicek
      Pages 441-466

  9. Back Matter

    Pages 467-471
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Keywords

About this book

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.

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

  • Delphi Electronics & Safety Kokomo, Indiana, USA

    Riad I. Hammoud

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