Machine Vision Beyond Visible Spectrum
(Sprache: Englisch)
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.
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
Fr. 177.00
inkl. MwSt.
- Kreditkarte, Paypal, Rechnungskauf
- 30 Tage Widerrufsrecht
Produktdetails
Produktinformationen zu „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.
Klappentext zu „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 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
Inhaltsverzeichnis zu „Machine Vision Beyond Visible Spectrum “
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.
Bibliographische Angaben
- 2013, Repr. d. Ausg. v. 2011, X, 254 Seiten, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Riad Hammoud, Guoliang Fan, Robert W. McMillan, Katsushi Ikeuchi
- Verlag: Springer, Berlin
- ISBN-10: 3642268501
- ISBN-13: 9783642268502
Sprache:
Englisch
Kommentar zu "Machine Vision Beyond Visible Spectrum"
0 Gebrauchte Artikel zu „Machine Vision Beyond Visible Spectrum“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Machine Vision Beyond Visible Spectrum".
Kommentar verfassen