End-to-End Rockfall Detection Based on DINO
Author:
Affiliation:
1. Technology Innovation Center of geohazards automatic monitoring, Ministry of Natural Resources, China
2. College of Computer and Information Science & College of Software, Southwest University, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3660395.3660488
Reference12 articles.
1. Implementation of the Rockfall Monitoring and Warning System Based on Video Image Identification[J];Wang J;Journal of Basic Science and Engineering,2014
2. Hybrid Early Warning System for Rock-Fall Risks Reduction
3. Agrawal A, Kar S. Development of a landslide detection surveillance system[C]//2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 2022: 1-4.
4. Rock falls impacting railway tracks: Detection analysis through an artificial intelligence camera prototype[J];Fantini A;Wireless Communications and Mobile Computing,2017
5. Meng Q Wang C Guo W. Research on the monitoring technology for geological disasters by the intelligent video recognition technology based on the optical flow[C]//2021 6th International Conference on Systems Control and Communications (ICSCC). 2021: 54-59.
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