Traffic Surveillance and Vehicle Detection YOLO and MobileNet-Based ML Pipeline Transfer Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1624-5_56
Reference20 articles.
1. Bhardwaj RJ, Rao DS (2022) Deep learning-based traffic behavior analysis under multiple camera environment. Int J Next-Gener Comput. https://doi.org/10.47164/ijngc.v13i3.719
2. Bhardwaj RJ, Rao DS (2022) Modified neural network-based object classification in video surveillance system. Int J Next-Gener Comput. https://doi.org/10.47164/ijngc.v13i3.890
3. Wang Z, Huang J, Xiong NN, Zhou X, Lin X, Ward TL (2020) A robust vehicle detection scheme for intelligent traffic surveillance systems in smart cities. IEEE Access 8:139299–312. https://doi.org/10.1109/access.2020.3012995
4. Ganga Krishnan G, Natheera Beevi M A comparative study of four deep neural networks for automatic license number plate recognition system. IJERT
5. Chao F, Yu-Pei S, Ya-Jie J (2019) Multi-lane detection based on deep convolutional neural network. IEEE Access 7:150833–150841
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