Machine vision beyond visible spectrum

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 ofdisparate sensors * Smart Sensors Gives a comprehensive overview on this fertile area for growth Includes many new developments Written by research expertsfrom industry INDICE: 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.- VehicleMatching 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: StatisticalAffine Invariant Hyperspectral Texture Descriptors Based Upon Harmonic Analysis.- Face Tracking and Classification Using Hyperspectral Video Sequences.- Onnear real-time moving Object Detection and Tracking in Multi-spectral Aerial imagery.

• ISBN: 978-3-642-11567-7
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 250
• Fecha Publicación: 02/10/2010
• Nº Volúmenes: 1
• Idioma: Inglés