Machine Vision Beyond Visible Spectrum

Herausgegeben:Hammoud, Riad; Fan, Guoliang; McMillan, Robert W.; Ikeuchi, Katsushi

• Gebundenes Buch

Produktbeschreibung

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

Produktdetails

• Augmented Vision and Reality 1
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 12677245, 978-3-642-11567-7
• 2011
• Seitenzahl: 264
• Erscheinungstermin: 1. Juni 2011
• Englisch
• Abmessung: 241mm x 160mm x 19mm
• Gewicht: 508g
• ISBN-13: 9783642115677
• ISBN-10: 3642115675
• Artikelnr.: 28439418

Inhaltsangabe

1. Target Recognition in Infrared: Local Feature Based Person Detection and Tracking Beyond the Visible Spectrum.- Fuzzy mixture of Gaussians for the detection of moving objects in and beyond visible spectrum.- Dynamic Appearance Learning by Adaptive Kalman Filters for Robust Infrared Tracking.- Pedestrian Association and Localization in Monocular FIR Video Sequence.- Vehicle Matching and Recognition under Large Variations of Pose and Illumination.- 2. Multi-Sensor Fusion and Smart Sensors: Fusion of a Camera and a Laser Range Sensor for Vehicle Recognition.- Geometric Sequence (GS) Imaging with Bayesian Smoothing for Optical and Capacitive Imaging Sensors.- A System Approach to Adaptive Multimodal Sensor Designs.-3. Hyperspectral Image Analysis: Statistical Affine Invariant Hyperspectral Texture Descriptors Based Upon Harmonic Analysis.- Face Tracking and Classification Using Hyperspectral Video Sequences.- On near real-time moving Object Detection and Tracking in Multi-spectral Aerial imagery.