Fusion Model for Traffic Sign Detection, Tracking and Recognition

Authors

  • Shubham Dhingra

  • G Saranya

  • Shalini Diwakar

  • Manish Kumar

Received date: July 20, 2018

Accepted date: July 20, 2018

Published date: July 20, 2018

DOI:

https://doi.org/10.14419/ijet.v7i3.12.15889

Keywords:

traffic sign, detection, tracking, recognition.

Abstract

A video-input traffic sign recognition is an advanced application which is a part of Intelligent Transport System(ITS) that provides information to the vehicles in order to make them safe and coordinated on road. The approach is to take a video as an input, divide it into series of frames and implement detection and recognition under mobile conditions. There are three major components: 1) detection; 2) recognition; 3) classification. We implement our technology on real data sets to obtain results in real-time manner.

 

 

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How to Cite

Dhingra, S., Saranya, G., Diwakar, S., & Kumar, M. (2018). Fusion Model for Traffic Sign Detection, Tracking and Recognition. International Journal of Engineering and Technology, 7(3.12), 112-115. https://doi.org/10.14419/ijet.v7i3.12.15889

Received date: July 20, 2018

Accepted date: July 20, 2018

Published date: July 20, 2018