000			02946nam a22003975i 4500
999			_c103784 _d103784 _x1
001			103784
003			DE-He213
005			20230102113146.0
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007			cr nn 008mamaa
008			141113s2015 gw | s |||| 0|eng d
020			_a9783319113258
024	7		_a10.1007/978-3-319-11325-8 _2doi
040			_bspa _dES-MaUEC
050		4	_aTA1637 _b2015 EB
100	1		_aSpehr, Jens. _eautor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/309662027/
245	1	0	_aOn Hierarchical Models for Visual Recognition and Learning of Objects, Scenes, and Activities _cby Jens Spehr.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XV, 199 páginas 107 ilustraciones, 92 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aStudies in Systems, Decision and Control, _x2198-4182 ; _v11
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Probabilistic Graphical Models -- Hierarchical Graphical Models -- Learning of Hierarchical Models.-Object Recognition -- Human Pose Estimation -- Scene Understanding for Intelligent Vehicles -- Conclusion.
520	3		_aIn many computer vision applications, objects have to be learned and recognized in images or image sequences. This book presents new probabilistic hierarchical models that allow an efficient representation of multiple objects of different categories, scales, rotations, and views. The idea is to exploit similarities between objects and object parts in order to share calculations and avoid redundant information. Furthermore inference approaches for fast and robust detection are presented. These new approaches combine the idea of compositional and similarity hierarchies and overcome limitations of previous methods. Besides classical object recognition the book shows the use for detection of human poses in a project for gait analysis. The use of activity detection is presented for the design of environments for ageing, to identify activities and behavior patterns in smart homes. In a presented project for parking spot detection using an intelligent vehicle, the proposed approaches are used to hierarchically model the environment of the vehicle for an efficient and robust interpretation of the scene in real-time.
988			_aEBSPRINGER_2018
650		7	_aFotónica _2embne _9150920
650		0	_9669495 _aProceso de imágenes
776	0	8	_iEdición impresa: _z9783319113265
776	0	8	_iEdición impresa: _z9783319113241
776	0	8	_iEdición impresa: _z9783319358628
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-11325-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _eIG _zSI