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00000nam a22000005i 4500 |
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978-3-642-11568-4 |
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110530s2011 gw | s |||| 0|eng d |
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|a 9783642115684
|9 978-3-642-11568-4
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|a 10.1007/978-3-642-11568-4
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|a 621.382
|2 23
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|a Machine Vision Beyond Visible Spectrum
|h [electronic resource] /
|c edited by Riad Hammoud, Guoliang Fan, Robert W. McMillan, Katsushi Ikeuchi.
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|a 1st ed. 2011.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2011.
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|a X, 254 p.
|b online resource.
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|a text
|b txt
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
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|a Augmented Vision and Reality,
|x 2190-5924 ;
|v 1
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|a 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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|a 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.
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650 |
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|a Signal processing.
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|a Computer vision.
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|a Control engineering.
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|a Robotics.
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|a Automation.
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|a Signal, Speech and Image Processing .
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|a Computer Vision.
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|a Control, Robotics, Automation.
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700 |
1 |
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|a Hammoud, Riad.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Fan, Guoliang.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a McMillan, Robert W.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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700 |
1 |
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|a Ikeuchi, Katsushi.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer Nature eBook
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776 |
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|i Printed edition:
|z 9783642115813
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776 |
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|i Printed edition:
|z 9783642268502
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776 |
0 |
8 |
|i Printed edition:
|z 9783642115677
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830 |
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|a Augmented Vision and Reality,
|x 2190-5924 ;
|v 1
|
856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-11568-4
|z Texto Completo
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912 |
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|a ZDB-2-ENG
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912 |
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|a ZDB-2-SXE
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950 |
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|a Engineering (SpringerNature-11647)
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950 |
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|a Engineering (R0) (SpringerNature-43712)
|