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Machine Vision Beyond Visible Spectrum

Overview of attention for book
Cover of 'Machine Vision Beyond Visible Spectrum'

Table of Contents

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    Book Overview
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    Chapter 1 Local Feature Based Person Detection and Tracking Beyond the Visible Spectrum
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    Chapter 2 Appearance Learning for Infrared Tracking with Occlusion Handling
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    Chapter 3 3D Model-Driven Vehicle Matching and Recognition
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    Chapter 4 Pattern Recognition and Tracking in Forward Looking Infrared Imagery
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    Chapter 5 A Bayesian Method for Infrared Face Recognition
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    Chapter 6 Fusion of a Camera and a Laser Range Sensor for Vehicle Recognition
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    Chapter 7 A System Approach to Adaptive Multimodal Sensor Designs
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    Chapter 8 Affine Invariant Hyperspectral Image Descriptors Based upon Harmonic Analysis
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    Chapter 9 Tracking and Identification via Object Reflectance Using a Hyperspectral Video Camera
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    Chapter 10 Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imagery
Attention for Chapter 2: Appearance Learning for Infrared Tracking with Occlusion Handling
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Chapter title
Appearance Learning for Infrared Tracking with Occlusion Handling
Chapter number 2
Book title
Machine Vision Beyond Visible Spectrum
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-11568-4_2
Book ISBNs
978-3-64-211567-7, 978-3-64-211568-4
Authors

Guoliang Fan, Vijay Venkataraman, Xin Fan, Joseph P. Havlicek

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