000			03034nam a22005295i 4500
001			978-1-4471-2245-6
003			DE-He213
005			20170628033621.0
007			cr nn 008mamaa
008			110921s2011 xxk| s |||| 0|eng d
020			_a9781447122456 _9978-1-4471-2245-6
024	7		_a10.1007/978-1-4471-2245-6 _2doi
050		4	_aTA1637-1638
050		4	_aTA1637-1638
072		7	_aUYT _2bicssc
072		7	_aUYQV _2bicssc
072		7	_aCOM012000 _2bisacsh
072		7	_aCOM016000 _2bisacsh
082	0	4	_a006.6 _223
082	0	4	_a006.37 _223
100	1		_aEscalera, Sergio. _eauthor.
245	1	0	_aTraffic-Sign Recognition Systems _h[electronic resource] / _cby Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva.
264		1	_aLondon : _bSpringer London, _c2011.
300			_aVI, 96p. 34 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Computer Science, _x2191-5768
505	0		_aIntroduction -- Background on Traffic Sign Detection and Recognition -- Traffic Sign Detection -- Traffic Sign Categorization -- Traffic Sign Detection and Recognition System -- Conclusions.
520			_aThis work presents a full generic approach to the detection and recognition of traffic signs. The approach, originally developed for a mobile mapping application, is based on the latest computer vision methods for object detection, and on powerful methods for multiclass classification. The challenge was to robustly detect a set of different sign classes in real time, and to classify each detected sign into a large, extensible set of classes. To address this challenge, several state-of-the-art methods were developed that can be used for different recognition problems. Following an introduction to the problems of traffic sign detection and categorization, the text focuses on the problem of detection, and presents recent developments in this field. The text then surveys a specific methodology for the problem of traffic sign categorization – Error-Correcting Output Codes – and presents several algorithms, performing experimental validation on a mobile mapping application. The work ends with a discussion on future lines of research, and continuing challenges for traffic sign recognition.
650		0	_aComputer science.
650		0	_aComputer vision.
650	1	4	_aComputer Science.
650	2	4	_aImage Processing and Computer Vision.
700	1		_aBaró, Xavier. _eauthor.
700	1		_aPujol, Oriol. _eauthor.
700	1		_aVitrià, Jordi. _eauthor.
700	1		_aRadeva, Petia. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781447122449
830		0	_aSpringerBriefs in Computer Science, _x2191-5768
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4471-2245-6
912			_aZDB-2-SCS
999			_c16031 _d16031