Moving vehicle tracking and scene understanding: A hybrid approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17618-6.pdf
Reference39 articles.
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3. Chienyao W, Alexey B, Mark L (2022) YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. IEEE, pp 7464–7475. https://doi.org/10.48550/arXiv.2207.02696
4. Elhani D, Megherbi AC, Zitouni A, Dornaika F, Sbaa S, Taleb-Ahmed A (2023) Optimizing convolutional neural networks architecture using a modified particle swarm optimization for image classification. Expert Syst Appl 229:120411
5. Gai Y, He W, Zhou Z (2021) Pedestrian target tracking based on DeepSORT with YOLOv5. In: International Conference on Computer Engineering and Intelligent Control (ICCEIC). IEEE, Chongqing, China
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