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001 | u372357 | ||
003 | SIRSI | ||
005 | 20160812084054.0 | ||
007 | cr nn 008mamaa | ||
008 | 110921s2011 xxk| s |||| 0|eng d | ||
020 |
_a9781447122456 _9978-1-4471-2245-6 |
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040 | _cMX-MeUAM | ||
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTA1637-1638 | |
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[recurso electrónico] / _cby Sergio Escalera, Xavier Baró, Oriol Pujol, Jordi Vitrià, Petia Radeva. |
264 | 1 |
_aLondon : _bSpringer London, _c2011. |
|
300 |
_aVI, 96p. 34 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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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 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4471-2245-6 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c200237 _d200237 |