Real-time Traffic Sign Text Detection Based on Deep Learning
نویسندگان
چکیده
منابع مشابه
A Real Time Traffic Sign Detection and Recognition Algorithm based on Super Fuzzy Set
Advanced Driver Assistance Systems (ADAS) benefit from current infrastructure to discern environmental information. Traffic signs are global guidelines which inform drivers from near characteristics of paths ahead. Traffic Sign Recognition (TSR) system is an ADAS that recognize traffic signs in images captured from road and show information as an adviser or transmit them to other ADASs. In this...
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An implementation and limited extension of a traffic sign recognition method based on the work by [1] is presented here. This implementation can be extended to target real-time detection. Yield sign, stop sign and red-bordered circular signs are considered. First, image is color segmented based on a thresholding technique. Then, corner features are detected using convolution masks (based on wor...
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Learning a good generative model is of utmost importance for the problems of computer vision, image classification and image processing. In particular, learning features from small tiny patches and perform further tasks, like traffic sign recognition, can be very useful. In this paper we propose to use Deep Belief Networks, based on Restricted Boltzmann Machines and a direct use of tiny images,...
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This paper presents a Graphic Processing Unit (GPU) implementation of real-time traffic sign detection and recognition which can classify 48 classes of traffic signs in the library. The GPU-based system has three stages: pre-processing, feature extraction and classification. The proposed design is to optimize the tradeoff between accuracy and computing time which has not been well studied previ...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2020
ISSN: 1757-899X
DOI: 10.1088/1757-899x/768/7/072039