Background Subtraction (Record no. 84911)
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000 -LEADER | |
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fixed length control field | 03709nam a22005175i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-031-01813-8 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730163722.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220601s2015 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031018138 |
-- | 978-3-031-01813-8 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006 |
100 1# - AUTHOR NAME | |
Author | Elgammal, Ahmed. |
245 10 - TITLE STATEMENT | |
Title | Background Subtraction |
Sub Title | Theory and Practice / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2015. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVI, 67 p. |
490 1# - SERIES STATEMENT | |
Series statement | Synthesis Lectures on Computer Vision, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Preface -- Acknowledgments -- Figure Credits -- Object Detection and Segmentation in Videos -- Background Subtraction from a Stationary Camera -- Background Subtraction from a Moving Camera -- Bibliography -- Author's Biography . |
520 ## - SUMMARY, ETC. | |
Summary, etc | Background subtraction is a widely used concept for detection of moving objects in videos. In the last two decades there has been a lot of development in designing algorithms for background subtraction, as well as wide use of these algorithms in various important applications, such as visual surveillance, sports video analysis, motion capture, etc. Various statistical approaches have been proposed to model scene backgrounds. The concept of background subtraction also has been extended to detect objects from videos captured from moving cameras. This book reviews the concept and practice of background subtraction. We discuss several traditional statistical background subtraction models, including the widely used parametric Gaussian mixture models and non-parametric models. We also discuss the issue of shadow suppression, which is essential for human motion analysis applications. This book discusses approaches and tradeoffs for background maintenance. This book also reviews many of the recent developments in background subtraction paradigm. Recent advances in developing algorithms for background subtraction from moving cameras are described, including motion-compensation-based approaches and motion-segmentation-based approaches. For links to the videos to accompany this book, please see sites.google.com/a/morganclaypool.com/backgroundsubtraction/ Table of Contents: Preface / Acknowledgments / Figure Credits / Object Detection and Segmentation in Videos / Background Subtraction from a Stationary Camera / Background Subtraction from a Moving Camera / Bibliography / Author's Biography. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
General subdivision | Digital techniques. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-031-01813-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2015. |
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-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Image processing |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer vision. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition systems. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Imaging, Vision, Pattern Recognition and Graphics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Vision. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automated Pattern Recognition. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2153-1064 |
912 ## - | |
-- | ZDB-2-SXSC |
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