Application of Intelligent Traffic Scene Recognition Based on Computer Vision
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-8174-5_8
Reference11 articles.
1. Qiu, L., Zhang, D., Tian, Y., Al-Nabhan, N.: Deep learning-based algorithm for vehicle detection in intelligent transportation systems. J. Supercomput. 77(10), 11083–11098 (2021). https://doi.org/10.1007/s11227-021-03712-9
2. Santos, M., Bastos-Filho, C.J.A., Maciel, A.M.A., Lima, E.: Counting vehicle with high-precision in Brazilian roads using YOLOv3 and deep SORT. In: 2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), pp. 69–76 (2020)
3. Lecture Notes in Computer Science;W Zhang,2020
4. Du, S., Zhang, P., Zhang, B., et al.: Weak and occluded vehicle detection in complex infrared environment based on improved YOLOv4. IEEE Access 9, 25671–25680 (2021)
5. Kumar, S., Vishal, Sharma, P., Pal, N.: Object tracking and counting in a zone using YOLOv4, DeepSORT and TensorFlow. In: 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), pp. 1017–1022 (2021)
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