Traffic sign recognition based on prevailing bag of visual words representation on feature descriptors

@article{Virupakshappa2015TrafficSR,
  title={Traffic sign recognition based on prevailing bag of visual words representation on feature descriptors},
  author={Kushal Virupakshappa and Yan Han and Erdal Oruklu},
  journal={2015 IEEE International Conference on Electro/Information Technology (EIT)},
  year={2015},
  pages={489-493}
}
Driver Assistance Systems such as traffic sign detection and autonomous car research are largely facilitated with the recent advances on computer vision and pattern recognition. In this work, Bag of visual Words technique has been implemented on Speeded Up Robust Feature (SURF) descriptors of the traffic signs and later the sturdy classifier Support Vector Machine (SVM) is used to categorize the traffic signs to its respective groups. Experimental results demonstrate that the proposed method of… CONTINUE READING
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