Video-based Real-time Intrusion Detection System using Deep-Learning for Smart City Applications-Reference-Cited by-同舟云学术

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Video-based Real-time Intrusion Detection System using Deep-Learning for Smart City Applications

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
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Author:

Nayak Rashmiranjan,Behera Mohini Mohan,Pati Umesh Chandra,Das Santos Kumar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9110269/9117907/09117960.pdf?arnumber=9117960

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Performance comparison analysis of classification methodologies for effective detection of intrusions;Computers & Security;2024-08

2. Power Transmission Lines Foreign Object Intrusion Detection Method for Drone Aerial Images Based on Improved YOLOv8 Network;Drones;2024-07-25

3. You Only Look Once (YOLOv8) Based Intrusion Detection System for Physical Security and Surveillance;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

4. A comprehensive review of datasets for detection and localization of video anomalies: a step towards data-centric artificial intelligence-based video anomaly detection;Multimedia Tools and Applications;2023-12-29

5. Exploring the Role of Automated Video Inspection and Recognition in Security Enhancement;2023 7th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech);2023-12-18

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