참고문헌
- Lee, D. E and Choi, Y. K., "Background subtraction algorithm based on Multiple Interval Pixel Sampling," KIPS trans. On Software and Data Engineering. vol. 2, no. 1, pp. 27-34, 2013. https://doi.org/10.3745/KTSDE.2013.2.1.027
- McFarlane, N. and Schofield, C., "Segmentation and Tracking of Piglets in Images," Machine Vision Applicaton, vol. 8, pp. 187-193, 1995. https://doi.org/10.1007/BF01215814
- Wren, C., Azarbayejani, A., Darrell, T. and Pentland, A., "Pfinder : Real-Time Tracking of the Human Body," IEEE Trans. on PAMI, vol. 19, no. 7, pp. 780-785, July 1997. https://doi.org/10.1109/34.598236
- Stauffer, C. and Grimson, W., "Adaptive Background Mixture Models for Real-Time Tracking," Proc. IEEE CS Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 246-252, 1999.
- Elgammal, A., Duraiswami, R., Harwood, D. and Davis, L.S., "Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, 2002. https://doi.org/10.1109/JPROC.2002.801448
- Zivkovic, Z., "Improved adaptive gausian mixture model for background subtraction," Proceedings of the International Conference on Pattern Recognition, pp. 28-31, 2004.
- Heikkila, M. and Pietikainen, M., "A Texture-Based Method for Modeling the Background and Detecting Moving Objects," IEEE Trans. on PAMI, Vol. 28, No. 4, pp. 657-662, April 2006. https://doi.org/10.1109/TPAMI.2006.68
- Wang, H. and Suter, D., "A consensus-based method for tracking : Modelling background scenario and foreground appearance," Pattern Recognition, vol. 40, no. 3, pp. 1091-1105, 2007. https://doi.org/10.1016/j.patcog.2006.05.024
- Barnich, O. and Van Droogenbroeck, M., "ViBe : A universal background subtraction algorithm for video sequences," IEEE Trans. on Image Processing, vol. 20, no. 6, pp.1709-1724, 2011. https://doi.org/10.1109/TIP.2010.2101613
- Chu, Y. H., Lee, B. J. and Choi, Y. K., "A Video based Traffic Light Recognition System for Intelligent Vehicles," J. of The Korean Society of Semiconductor & Display Equipment Technology, Vol. 14, No. 2, pp. 29-34, 2015.