Overview

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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9781848824454

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<p>From the reviews: <p> 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)<p> 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 details of very specific

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