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Machine Vision Beyond Visible Spectrum : Augmented Vision and Reality - Riad Hammoud

Machine Vision Beyond Visible Spectrum

By: Riad Hammoud (Editor), Guoliang Fan (Editor), Robert W. McMillan (Editor)

Hardcover | 1 June 2011

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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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