Deep learning based video surveillance for predicting vehicle density in real time scenario
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04549-1.pdf
Reference44 articles.
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3. Asmaa O, Mokhtar K, Abdelaziz O (2013) “Road traffic density estimation using microscopic and macroscopic parameters”, Image and Vision Computing, Vol. 31, Issue no. 11, pp. 887–894, Nov
4. Bas E, Tekalp A, Salman FS (2007) “Automatic Vehicle Counting from Video for Traffic FlowAnalysis”, Proceedings of IEEE Intelligent Vehicles Symposium, pp. 392–397, Jun.
5. Chen Y, Qin R, Zhang G, Albanwan H (2021) Spatial temporal analysis of traffic patterns during the COVID-19 epidemic by vehicle detection using planet remote-sensing Satellite images.Remote Sens.13, 208
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