[1] Wang H Q, Xu T F, Sun X L et al. Infrared-visible video registration with matching motion trajectories of targets[J]. Optics and Precision Engineering, 26, 1533-1541(2018).
[2] Chen Z C, Wu X L, Zhao F J. Denoising and implementation of photoplethysmography signal based on EEMD and wavelet threshold[J]. Optics and Precision Engineering, 27, 1327-1334(2019).
[3] WrightJ, GaneshA, RaoS, et al.Robust principal component analysis: exact recovery of corrupted low-rank matrices by convex optimization[C]∥Proceedings of Neural Information Processing Systems. Whistler: MIT Press, 2009: 2080- 2088.
[4] Guyon C, Bouwmans T, Zahzah E H. Foreground detection based on low-rank and block-sparse matrix decomposition. [C]∥2012 19th IEEE International Conference on Image Processing, September 30-October 3, 2012. Orlando, FL, USA. IEEE, 1225-1228(2012).
[5] Shahid N, Kalofolias V, Bresson X et al. Robust principal component analysis on graphs. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015. Santiago, Chile. IEEE, 2812-2820(2015).
[7] Cao X C, Yang L, Guo X J. Total variation regularized RPCA for irregularly moving object detection under dynamic background[J]. IEEE Transactions on Cybernetics, 46, 1014-1027(2016).
[8] Liu X, Zhao G Y, Yao J W et al. Background subtraction based on low-rank and structured sparse decomposition[J]. IEEE Transactions on Image Processing, 24, 2502-2514(2015).
[9] Javed S, Mahmood A, Bouwmans T et al. Background-foreground modeling based on spatiotemporal sparse subspace clustering[J]. IEEE Transactions on Image Processing, 26, 5840-5854(2017).
[10] Shijila B, Tom A J, George S N. Moving object detection by low rank approximation and l1-TV regularization on RPCA framework[J]. Journal of Visual Communication and Image Representation, 56, 188-200(2018).
[11] Lang H, Ding S, Lu J et al. Traffic video significance foreground target extraction in complex scenes[J]. Journal of Image and Graphics, 24, 50-63(2019).
[12] Javed S, Bouwmans T, Jung S K. Stochastic decomposition into low rank and sparse tensor for robust background subtraction. [C]∥6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15), London, UK. Institution of Engineering and Technology, 5-7(2015).
[13] Chen L X, Liu Y P, Zhu C. Iterative block tensor singular value thresholding for extraction of lowrank component of image data. [C]∥2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 5-9, 2017. New Orleans, LA. IEEE, 1862-1866(2017).
[14] Barbero Á. -12-30)[2019-11-01]. https:∥arxiv., org/abs/1411, 0589(2017).