Traffic Sign Detection Based on Key Point Method

Abstract

Automatic traffic sign detection is an essential task of regulating the traffic, warning and guiding road users or drivers. Road and traffic signs are designed to be easily detected by drivers or road users mainly because their colours and shapes are readily distinguishable from their surroundings. A traffic sign detection system could in principle be developed as part of an Intelligent Transport Systems (ITS) that continuously monitors the driver, the vehicle, and the road in order, for example, to inform the driver in time about upcoming decision points regarding navigation and potentially risky traffic situations. Traffic signs are detected by using Gabor filter bank and BRISK keypoint features. After experimentation on publically available databases it is evident that the proposed descriptor works effectively for traffic sign detection.

Authors and Affiliations

Savita Mogare

Keywords

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  • EP ID EP24760
  • DOI -
  • Views 291
  • Downloads 15

How To Cite

Savita Mogare (2017). Traffic Sign Detection Based on Key Point Method. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(6), -. https://europub.co.uk/articles/-A-24760