000 | 03317nam a22005055i 4500 | ||
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001 | u374045 | ||
003 | SIRSI | ||
005 | 20160812084215.0 | ||
007 | cr nn 008mamaa | ||
008 | 110530s2011 gw | s |||| 0|eng d | ||
020 |
_a9783642115684 _9978-3-642-11568-4 |
||
040 | _cMX-MeUAM | ||
050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.S65 | |
082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aHammoud, Riad. _eeditor. |
|
245 | 1 | 0 |
_aMachine Vision Beyond Visible Spectrum _h[recurso electrónico] / _cedited by Riad Hammoud, Guoliang Fan, Robert W. McMillan, Katsushi Ikeuchi. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
|
300 |
_aX, 254 p. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aAugmented Vision and Reality ; _v1 |
|
505 | 0 | _a1. 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. | |
520 | _aThe 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 | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aComputer vision. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
650 | 2 | 4 | _aControl, Robotics, Mechatronics. |
700 | 1 |
_aFan, Guoliang. _eeditor. |
|
700 | 1 |
_aMcMillan, Robert W. _eeditor. |
|
700 | 1 |
_aIkeuchi, Katsushi. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642115677 |
830 | 0 |
_aAugmented Vision and Reality ; _v1 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-11568-4 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c201925 _d201925 |