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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 co...
| Call Number: | Libro Electrónico |
|---|---|
| Corporate Author: | |
| Other Authors: | , , , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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| Edition: | 1st ed. 2011. |
| Series: | Augmented Vision and Reality,
1 |
| Subjects: | |
| Online Access: | Texto Completo |
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.