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 image processing, computer vision and pattern recognition.

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

  Gives a comprehensive overview on this fertile area for growth Includes many new developments Written by research experts from industry

  Inhalt

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.