참고문헌
- Z. Zivkovic, "Improved adaptive Gaussian mixture model for background subtraction," In Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, IEEE, vol. 2, pp. 28-31, Aug. 2004.
- L. Yiyang, S. Longqing, Z. Yuanbing, and L. Yue, "Individual pig object detection algorithm based on Gaussian mixture model," International Journal of Agricultural and Biological Engineering, vol. 10, no. 5, pp. 186-193, 2017. https://doi.org/10.25165/j.ijabe.20171005.3136
- Z. Zhang, X. Zhang, K. Ichiji, Y. Takane, S. Yanagaki, Y. Kawasumi, and N. Homma, "Adaptive Gaussian Mixture Model-Based Statistical Feature Extraction for Computer-Aided Diagnosis of Micro-Calcification Clusters in Mammograms," SICE Journal of Control, Measurement, and System Integration, vol. 13, no. 4, pp. 183-190, 2020. https://doi.org/10.9746/jcmsi.13.183
- T. Bouwmans, C. Silva, C. Marghes, M. S. Zitouni, H. Bhaskar, and C. Frelicot, "On the role and the importance of features for background modeling and foreground detection," Computer Science Review, vol. 28, pp. 26-91, 2018. https://doi.org/10.1016/j.cosrev.2018.01.004
- Y. Wang, Z. Yu, and L. Zhu, "Foreground detection with deeply learned multi-scale spatial-temporal features," Sensors, vol. 18, no. 12, pp. 4269, 2018. https://doi.org/10.3390/s18124269
- E. Lopez-Rubio, M. A. Molina-Cabello, R. M. Luque-Baena, and E. Dominguez, "Foreground detection by competitive learning for varying input distributions," International journal of neural systems, vol. 28, no. 5, pp. 1750056, 2018. https://doi.org/10.1142/S0129065717500563
- K. Yun, J. Lim, and J. Y. Choi, "Scene conditional background update for moving object detection in a moving camera," Pattern Recognition Letters, vol. 88, pp. 57-63, 2017. https://doi.org/10.1016/j.patrec.2017.01.017
- X. Peng, X. Lu, S. Jiang, C. Li, and C. Pan, "A new background update algorithm for airborne camera in dynamic background," In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), IEEE, pp. 644-648, Jul. 2017.
- S. Pei, L. Li, L. Ye, and Y. Dong, "A Tensor Foreground-Background Separation Algorithm Based on Dynamic Dictionary Update and Active Contour Detection," IEEE Access, vol. 8, pp. 88259-88272, 2020. https://doi.org/10.1109/access.2020.2992494
- W. Zheng, K. Wang, and F. Y. Wang, "A novel background subtraction algorithm based on parallel vision and Bayesian GANs," Neurocomputing, vol. 394, pp. 178-200. 2020. https://doi.org/10.1016/j.neucom.2019.04.088