| 000 | 03296nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-02237-1 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163451.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2006 sz | s |||| 0|eng d | ||
| 020 |
_a9783031022371 _9978-3-031-02237-1 |
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| 024 | 7 |
_a10.1007/978-3-031-02237-1 _2doi |
|
| 050 | 4 | _aT1-995 | |
| 072 | 7 |
_aTBC _2bicssc |
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| 072 | 7 |
_aTEC000000 _2bisacsh |
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| 072 | 7 |
_aTBC _2thema |
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| 082 | 0 | 4 |
_a620 _223 |
| 100 | 1 |
_aActon, Scott T. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _978704 |
|
| 245 | 1 | 0 |
_aBiomedical Image Analysis _h[electronic resource] : _bTracking / _cby Scott T. Acton, Nilanjan Ray. |
| 250 | _a1st ed. 2006. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2006. |
|
| 300 |
_aVII, 144 p. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 |
|
| 505 | 0 | _aIntroduction -- Active Contours for Tracking -- Bayesian Tracking and the Kalman Filter -- Particle Filters and Multi-Target Tracking -- Tracking Shapes by Sampling. | |
| 520 | _aIn biological and medical imaging applications, tracking objects in motion is a critical task. This book describes the state-of-the-art in biomedical tracking techniques. We begin by detailing methods for tracking using active contours, which have been highly successful in biomedical applications. The book next covers the major probabilistic methods for tracking. Starting with the basic Bayesian model, we describe the Kalman filter and conventional tracking methods that use centroid and correlation measurements for target detection. Innovations such as the extended Kalman filter and the interacting multiple model open the door to capturing complex biological objects in motion. A salient highlight of the book is the introduction of the recently emerged particle filter, which promises to solve tracking problems that were previously intractable by conventional means. Another unique feature of Biomedical Image Analysis: Tracking is the explanation of shape-based methods for biomedical image analysis. Methods for both rigid and nonrigid objects are depicted. Each chapter in the book puts forth biomedical case studies that illustrate the methods in action. | ||
| 650 | 0 |
_aEngineering. _99405 |
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| 650 | 0 |
_aElectrical engineering. _978705 |
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| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aTechnology and Engineering. _978706 |
| 650 | 2 | 4 |
_aElectrical and Electronic Engineering. _978707 |
| 650 | 2 | 4 |
_aSignal, Speech and Image Processing. _931566 |
| 700 | 1 |
_aRay, Nilanjan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _978708 |
|
| 710 | 2 |
_aSpringerLink (Online service) _978709 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031011092 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031033650 |
| 830 | 0 |
_aSynthesis Lectures on Image, Video, and Multimedia Processing, _x1559-8144 _978710 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-02237-1 |
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| 942 | _cEBK | ||
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