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Machine Vision Beyond Visible Spectrum

✍ Scribed by Kai Jüngling, Michael Arens (auth.), Riad Hammoud, Guoliang Fan, Robert W. McMillan, Katsushi Ikeuchi (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2011
Tongue
English
Leaves
253
Series
Augmented Vision and Reality 1
Edition
1
Category
Library

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✦ Synopsis


The material of this book encompasses many disciplines, including visible, infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and electro-optical sensors as well as the very dynamic topics of image processing, computer vision and pattern recognition.

This book is composed of six parts:

* Advanced background modeling for surveillance
* Advances in Tracking in Infrared imagery
* Methods for Pose estimation in Ultrasound and LWIR imagery
* Recognition in multi-spectral and synthetic aperture radar
* Fusion of disparate sensors
* Smart Sensors

✦ Table of Contents


Front Matter....Pages i-x
Front Matter....Pages 1-1
Local Feature Based Person Detection and Tracking Beyond the Visible Spectrum....Pages 3-32
Appearance Learning for Infrared Tracking with Occlusion Handling....Pages 33-64
3D Model-Driven Vehicle Matching and Recognition....Pages 65-85
Pattern Recognition and Tracking in Forward Looking Infrared Imagery....Pages 87-122
A Bayesian Method for Infrared Face Recognition....Pages 123-138
Front Matter....Pages 139-139
Fusion of a Camera and a Laser Range Sensor for Vehicle Recognition....Pages 141-157
A System Approach to Adaptive Multimodal Sensor Designs....Pages 159-176
Front Matter....Pages 177-177
Affine Invariant Hyperspectral Image Descriptors Based upon Harmonic Analysis....Pages 179-199
Tracking and Identification via Object Reflectance Using a Hyperspectral Video Camera....Pages 201-219
Moving Object Detection and Tracking in Forward Looking Infra-Red Aerial Imagery....Pages 221-252

✦ Subjects


Signal, Image and Speech Processing; Image Processing and Computer Vision; Control, Robotics, Mechatronics


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