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...
Shranjeno v:
| Drugi avtorji: | , , , |
|---|---|
| Format: | Livre numérique |
| Jezik: | Anglais |
| Izdano: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[201.].
Cham : Springer Nature |
| Izdaja: | 1st ed. 2011. |
| Serija: | Augmented Vision and Reality
1 |
| Online dostop: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Sporočilo: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine vision beyond visible spectrum, edited by Riad Hammoud ... [et al.], Berlin, Springer, 2010, 1 vol. (X-252 p.), Augmented vision and reality, 978-3-642-11567-7 • Machine Vision Beyond Visible Spectrum, Texte imprimé, 9783642115813 • Machine Vision Beyond Visible Spectrum, Texte imprimé, 9783642268502 • Machine vision beyond visible spectrum, edited by Riad Hammoud ... [et al.], Berlin, Springer, 2010, 1 vol. (X-252 p.), Augmented vision and reality, 978-3-642-11567-7 • Machine Vision Beyond Visible Spectrum, Texte imprimé, 9783642115813 • Machine Vision Beyond Visible Spectrum, Texte imprimé, 9783642268502 • Machine vision beyond visible spectrum, edited by Riad Hammoud ... [et al.], Berlin, Springer, 2010, 1 vol. (X-252 p.), Augmented vision and reality, 978-3-642-11567-7 |
Kazalo:
- 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