Abstract:
We propose a cascade method for fast and accurate traffic sign detection. The main feature of the method is that mid-level saliency test is used to efficiently and reliab...Show MoreMetadata
Abstract:
We propose a cascade method for fast and accurate traffic sign detection. The main feature of the method is that mid-level saliency test is used to efficiently and reliably eliminate background windows. Fast feature extraction is adopted in the subsequent stages for rejecting more negatives. Combining with neighbor scales awareness in window search, the proposed method runs at 3~5 fps for high resolution (1360×800) images, 2~7 times as fast as most state-of-the-art methods. Compared with them, the proposed method yields competitive performance on prohibitory signs while sacrifices performance moderately on danger and mandatory signs.
Published in: 2015 IEEE Intelligent Vehicles Symposium (IV)
Date of Conference: 28 June 2015 - 01 July 2015
Date Added to IEEE Xplore: 27 August 2015
ISBN Information:
Print ISSN: 1931-0587