Real-time traffic sign recognition from video by class-specific discriminative features

In this paper we address the problem of traffic sign recognition. Novel image representation and discriminative feature selection algorithms are utilised in a traditional three-stage framework involving detection, tracking and recognition. The detector captures instances of equiangular polygons in t...

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Veröffentlicht in:	Pattern recognition Jg. 43; H. 1; S. 416 - 430
Hauptverfasser:	Ruta, Andrzej, Li, Yongmin, Liu, Xiaohui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 2010 Elsevier
Schlagworte:	Applied sciences Artificial intelligence Colour Distance Transform Computer science; control theory; systems Computer vision-based driver assistance Discriminative local regions Exact sciences and technology Forward feature selection Image processing Information, signal and communications theory Miscellaneous Pattern recognition. Digital image processing. Computational geometry Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Telecommunications and information theory Traffic sign recognition Forward feature selection Traffic sign recognition Computer vision-based driver assistance Colour Distance Transform Discriminative local regions Performance evaluation Automatic classification Similarity Image processing Learning Polygonal shape Image representation Driver information systems Learning algorithm Nearest neighbour Computer vision Discriminant analysis Target tracking Teletraffic Distance transformation Signal representation Signal classification Color image Statistical method Interest region Image analysis Driver assistance Signal processing Feature extraction Open market Principal component analysis
ISSN:	0031-3203, 1873-5142
Online-Zugang:	Volltext
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