Embedded real-time speed limit sign recognition using image processing and machine learning techniques

The number of traffic accidents in Brazil has reached alarming levels and is currently one of the leading causes of death in the country. With the number of vehicles on the roads increasing rapidly, these problems will tend to worsen. Consequently, huge investments in resources to increase road safe...

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Veröffentlicht in:	Neural computing & applications Jg. 28; H. Suppl 1; S. 573 - 584
Hauptverfasser:	Gomes, Samuel L., Rebouças, Elizângela de S., Neto, Edson Cavalcanti, Papa, João P., Albuquerque, Victor H. C. de, Rebouças Filho, Pedro P., Tavares, João Manuel R. S.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.12.2017 Springer Nature B.V
Schlagworte:	Artificial Intelligence Classifiers Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data Mining and Knowledge Discovery Embedded systems Feature recognition Frames per second Image detection Image processing Image Processing and Computer Vision Kernel functions Least mean squares Least mean squares algorithm Machine learning Multilayer perceptrons Object recognition Optical character recognition Original Article Probability and Statistics in Computer Science Real time Roads & highways Signs Speed limits Street signs Support vector machines Traffic accidents Traffic accidents & safety Traffic safety Traffic signs Traffic speed Cascade haar-like features Computer vision Pattern recognition Automotive applications
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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