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Engineering - Signals & Communication | Machine Vision Beyond Visible Spectrum

Machine Vision Beyond Visible Spectrum

Hammoud, R., Fan, G., McMillan, R.W., Ikeuchi, K. (Eds.)

2011, X, 254 p.

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

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

Content Level » Research

Keywords » LWIR - Pose - electro-optical sensors - far infrared - millimeter wave sensors - synthetic aperture radar

Related subjects » Image Processing - Robotics - Signals & Communication

Table of contents 

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.

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