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16 February 2022 An overview of traffic sign detection and recognition algorithms
Xiaoyu Ren, Min Zhi
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Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120831Z (2022) https://doi.org/10.1117/12.2623211
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China
Abstract
Deep learning has developed rapidly and made unprecedented achievements especially in the field of image cognition, since Alex et al. proposed AlexNet in 2012. This paper focuses on the mainstream research methods of traffic sign detection and recognition, including the traditional feature-based image processing method and the target detection method based on deep learning. The traffic sign detection and recognition method based on deep learning is divided into two categories for discussion and analysis, namely, the Anchor based and Anchor-Free neural network architectures. Finally, the paper makes a brief summary and prospects the future development.
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Xiaoyu Ren and Min Zhi "An overview of traffic sign detection and recognition algorithms", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120831Z (16 February 2022); https://doi.org/10.1117/12.2623211
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KEYWORDS
Target detection
Detection and tracking algorithms
Feature extraction
Image processing
Image segmentation
Network architectures
Neural networks
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