Augmented Vision Perception in Infrared

3,000 تومان

Augmented Vision Perception
in Infrared
Algorithms and Applied Systems
Dr. Riad I. Hammoud
Kokomo, Indiana, USA Riad Ibrahim Hammoud
February 12, 2008
pages 469

توضیحات

Augmented Vision Perception in Infrared

.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 fiscal 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, non contact 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 non visual imagery, as well as to fill 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 intelligent 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, invariant shape characterization, disparate sensors fusion, non contact
physiological measurements, night vision, and target classification. Its application
scope includes homeland security, public transportation, surveillance, medical, and military.
Moreover, this book emphasizes the merging of the aforementioned machine perception
applications and non visual imaging in intensified, near infrared, thermal infrared,
laser, polarimetric, and hyper spectral bands. This book contains eighteen chapters
organized into seven distinctive parts. Part I presents advanced techniques for
identifying unique infrared signatures and classifying small-resolution objects above
and under the soil. Chapter 1 addresses the challenge of metallic and nonmetallic
land mine detection using infrared thermography instead of popular metal detectors.
It describes a novel approach for classifying shallowly buried objects in terms of
geometric and thermal signatures.