Hammoud / Fan / McMillan Machine Vision Beyond Visible Spectrum

1. Auflage 2011
ISBN: 978-3-642-11568-4
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1, 254 Seiten, eBook

Reihe: Augmented Vision and Reality

The material of this book encompasses many disciplines, including visible,infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, andelectro-optical sensors as well as the very dynamic topics of image processing, computervision 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

Zielgruppe

Research

Autoren/Hrsg.

Hammoud, Riad

Fan, Guoliang

McMillan, Robert W.

Ikeuchi, Katsushi

Inhaltsverzeichnis

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.