Cite

Bay, H., Tuytelaars, T., And Van Gool, L. 2006. Surf: Speeded up robust features. In Computer Vision – ECCV 2006, A. Leonardis, H. Bischof, and A. Pinz, Eds. Springer Berlin Heidelberg, Berlin, Heidelberg, 404–417. Search in Google Scholar

Bewley, A., Ge, Z., Ott, L., Ramos, F., And Upcroft, B. 2016. Simple online and realtime tracking. In IEEE international conference on image processing (ICIP). IEEE CS, 2001 L Street NW, Washington, 3464–3468. Search in Google Scholar

Esa. 2022. ESA’s Annual Space Encironment Report. European Space Agency, Darmstadt, Germany. Search in Google Scholar

Gonzalez, R. C. And Woods, R. E. 2007. Digital Image Processing (3rd Edition). Prentice-Hall, Inc. Upper Saddle River, NJ, USA ©2006. Search in Google Scholar

Hahsler, M., Piekenbrock, M., And Doran, D. 2019. dbscan: Fast density-based clustering with r. Journal of Statistical Software 91, 1, 1–30. Search in Google Scholar

Huang, T., Yang, G., And Tang, G. 1979. A fast two-dimensional median filtering algorithm. IEEE Transactions on Acoustics, Speech, and Signal Processing 27, 1, 13–18. Search in Google Scholar

Jiang, B., Sun, P., Zhang, Z., Tang, J., And Luo, B. 2021. Gamnet: Robust feature matching via graph adversarial-matching network. In Proceedings of the 29th ACM International Conference on Multimedia. MM ’21. Association for Computing Machinery, New York, NY, USA, 5419–5426. Search in Google Scholar

Kalman, R. E. 1960. A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering 82, 1 (03), 35–45. Search in Google Scholar

Kanzler, R., Lips, T., Fritsche, B., Pontijas Fuentes, I., Bonetti, D., Letterio, F., De Miguel, G. V., Blanco Arnao, G., Palomo, P., Parigini, C., Et Al. 2017. Upgrade of drama’s spacecraft entry survival analysis codes. In 7th European Conference on Space Debris (ECSD). European Space Agency, Darmstadt, Germany. Search in Google Scholar

Lowe, D. G. 1999. Object recognition from local scale-invariant features. In Proceedings of the Seventh IEEE International Conference on Computer Vision. Vol. 2. IEEE CS, 2001 L Street NW, Washington, 1150–1157 vol.2. Search in Google Scholar

Petrosino, A. And Maddalena, L. 2014. Background model initialization for static cameras. In Background Modeling and Foreground Detection for Video Surveillance, Chapman and Hall/CRC. Chapman and Hall/CRC, 6000 Broken Sound Parkway NW, FL, 3–1–3–16. Search in Google Scholar

Sarlin, P.-E., Detone, D., Malisiewicz, T., And Rabinovich, A. 2020. SuperGlue: Learning feature matching with graph neural networks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, IEEE CS, 2001 L Street NW, Washington, 4948–4957. Search in Google Scholar

Tóth, J., Kornoš, L., Zigo, P., Gajdoš, Š., Kalmančok, D., Világi, J., Šimon, J., Vereš, P., Šilha, J., Buček, M., et al. 2015. All-sky meteor orbit system amos and preliminary analysis of three unusual meteor showers. Planetary and space science 118, 102–106. Search in Google Scholar

Walt, S. V. D., Schönberger, J. L., Nunez-Iglesias, J., Boulogne, F., Warner, J. D., Yager, N., Gouillart, E., And Yu, T. 2014. Scikit-image: Image processing in python. PeerJ 2, e453. Search in Google Scholar

Žilková, D., Matlovič, P., Tóth, J., Kornoš, L., Havrila, K., Baláž., M., Krajčovič, S., and Šilha, J. 2019. Applications of amos meteor all-sky detection system for space debris research. First International Orbital Debris Conference, Houston Lunar and Planetary Institute, https://www.hou.usra.edu/meetings/orbitaldebris2019/orbital2019paper/pdf/6083.pdf Art. No. 6083, 1– Search in Google Scholar

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