Research and Implementation of Video Intelligent Auxiliary Recognition System for Smart Stations in Urban Rail Transit
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9311-6_66
Reference10 articles.
1. Liu, S., Zhang, W., Yang, E., Liu, Y., Zhao S., Zhang, Y.: Intelligent video analysis system for railway station. In: 16th IEEE International Conference on Signal Processing (ICSP), pp. 320–324. Publisher, Beijing (2022)
2. Hidayat, F., Hidayat, F., Hamami, F., Dahlan, I.A., Supangkat, S.H., Fadillah, A., Hidayatuloh, A.: Real time video analytics based on deep learning and big data for smart station. J. Phys. Conf. Ser. 1577(1), 012019 (2020)
3. Prati, A., Vezzani, R., Fornaciari, M., Cucchiara, R.: Intelligent Video Surveillance as a Service, pp. 1–16. Springer, Berlin, Heidelberg (2013)
4. Mabrouk, A.B., Zagrouba, E.: Abnormal behavior recognition for intelligent video surveillance systems. Expert Syst. Appl. 75, 480–491 (2018)
5. Limna, T., Tandayya, P.: A flexible and scalable component-based system architecture for video surveillance as a service, running on infrastructure as a service. Multimed. Tools Appl. 75(4), 1765–1791 (2016)
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