Classification of Degraded Traffic Signs Using Flexible Mixture Model and Transfer Learning

Classification of Degraded Traffic Signs Using Flexible Mixture Model and Transfer Learning

Automatic detection and recognition of traffic signs is a topic of research for various applications like driver assistance, inventory management and autonomous driving. Poorly maintained traffic signs degrade by losing their colors or some part is weird due to aging and hence making the task more c...

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Bibliographic Details
Main Authors: Abdul Mannan, Kashif Javed, Atta Ur Rehman, Haroon A. Babri, Serosh K. Noon
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Degraded traffic sign
Gaussian mixture model
Transfer learning
Convolutional neural networks
dimensionality reduction
Online Access:https://ieeexplore.ieee.org/document/8866733/

Internet

https://ieeexplore.ieee.org/document/8866733/

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