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008			220601s2015 sz | s |||| 0|eng d
020			_a9783031018138
024	7		_a10.1007/978-3-031-01813-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA1655 _b2015 EB
100	1		_aBarnard, Kobus, _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686974 _d1961-
245	1	0	_aBackground Subtraction : _bTheory and Practice _cby Kobus Barnard
250			_a1st edition 2015
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XVI, 67 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Computer Vision _x2153-1064
505	0		_aPreface -- 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			_aBackground 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.
988			_aSynthesis Collection of Technology_2015
650		7	_2embne _9413188 _aProceso digital de imágenes
650		7	_2embne _9686976 _aAberración (Óptica)
776	0	8	_iPrinted edition: _z9783031006852
776	0	8	_iPrinted edition: _z9783031029417
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01813-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI