Paper
9 October 2023 Research on real time hyper-resolution image recognition based on urban level large scale vehicle network interaction
Shan He, Wenjun Tang, Jing Ge, Xun Li
Author Affiliations +
Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 1279116 (2023) https://doi.org/10.1117/12.3004905
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China
Abstract
With the continuous expansion of urban transportation networks and the increase in the number of vehicles, real-time monitoring and identification of urban transportation networks has become an important research direction. This article proposes a real-time super-resolution image recognition method based on large-scale urban vehicle network interaction. This method improves the efficiency of traffic management and control by monitoring and identifying vehicles in the urban transportation network in real time. This article adopts deep learning and image super-resolution techniques, and uses large-scale datasets for experimental verification, achieving good results.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shan He, Wenjun Tang, Jing Ge, and Xun Li "Research on real time hyper-resolution image recognition based on urban level large scale vehicle network interaction", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 1279116 (9 October 2023); https://doi.org/10.1117/12.3004905
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KEYWORDS
Transportation

Education and training

Super resolution

Deep learning

Image segmentation

Image processing

Computer vision technology

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