A Reactive Deep Learning-Based Model for Quality Assessment in Airport Video Surveillance Systems
Author:
Affiliation:
1. College of Computer Science and Technology, Southwest University of Science and Technology, Mianyang 621002, China
2. Information Technology Center, Chengdu Shuangliu International Airport Co., Ltd., Chengdu 610200, China
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2079-9292/13/4/749/pdf
Reference34 articles.
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4. AGVS: A New Change Detection Dataset for Airport Ground Video Surveillance;Zhang;IEEE Trans. Intell. Transp. Syst.,2022
5. Zhang, X., and Qiao, Y. (2020, January 10–12). A video surveillance network for airport ground moving targets. Proceedings of the Mobile Networks and Management: 10th EAI International Conference, MONAMI 2020, Chiba, Japan. Proceedings 10.
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