ANN-based traffic planning model using adaptive YOLOv5-aided object counting from surveillance videos
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42107-024-01079-9.pdf
Reference40 articles.
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3. Balid, W., Tafish, H., & Refai, H. H. (2018). Intelligent vehicle counting and classification sensor for real-time traffic surveillance. IEEE Transactions on Intelligent Transportation Systems, 19(6), 1784–1794. https://doi.org/10.1109/TITS.2017.2741507
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