[1] Chen Y, Dong J W. Target detection based on the interframe difference of block and graph-based. [C]∥Proceedings of IEEE International Conference of Computational Intelligence and Design, 467-470(2016).
[2] Manchanda S, Sharma S. Identifying moving objects in a video using modified background subtraction and optical flow method. [C]∥Proceedings of IEEE International Conference on Computing for Sustainable Global Development, 129-133(2016).
[3] Han G, Li X F, Sun N et al. A robust object detection algorithm based on background difference and LK optical flow. [C]∥Proceedings of IEEE International Conference on Fuzzy Systems and Knowledge Discovery, 554-559(2014).
[4] Barnich O, Van Droogenbroeck M. ViBe: A universal background subtraction algorithm for video sequences[J]. IEEE Transactions on Image Processing, 20, 1709-1724(2011). http://europepmc.org/abstract/MED/21189241
[5] Liu S Y. An improved ViBe moving object detection algorithm based on spatial-temporal gradient of image. [C]∥Proceedings of International Conference on Progress in Informatics and Computing, 192-197(2016).
[6] Mo S W, Deng X P, Wang S et al. Moving object detection algorithm based on improved visual background extractor[J]. Acta Optica Sinica, 36, 0615001(2016).
[7] Chen X M, Liao J, Li B et al. Foreground detection based on modified ViBe in dynamic background[J]. Optics and Precision Engineering, 22, 2545-2552(2014).
[8] Ding Q, Gu G H, Xu F Y et al. Moving target detection on moving camera with the presence of strong parallax[J]. Laser & Optoelectronics Progress, 52, 091501(2015).
[9] Tian Y L, Zhou W, Wang W H et al. A method of dim and small target detection in large field-of-view from coarse to fine[J]. Laser & Optoelectronics Progress, 50, 011104(2013).
[10] Min W D, Guo X G, Han Q. An improved ViBe algorithm and its application in traffic video processing[J]. Optics and Precision Engineering, 25, 806-811(2017).
[11] Song Z Q, Lu J Z, Nie S L. Improved spatiotemporal background subtraction method for target detection[J]. Opto-Electronic Engineering, 43, 27-32,39(2016).
[12] Chen S, Ding B K. Foreground detection of the adaptive LOBSTER algorithm in a dynamic background[J]. Journal of Image and Graphics, 22, 161-169(2017).
[13] Xie L, Zhang X H, Guo P Y et al. ViBe with adaptive threshold based on energy minimization[J]. Applied Mechanics and Materials, 782, 397-406(2015). http://www.scientific.net/AMM.782.326
[14] Zhang D, Xu A, Zhang J et al. The improvement of VIBE foreground detection algorithm. [C]∥Proceedings of International Conference on Automatic Target Recognition and Navigation, 10608, 1060802(2018).
[15] Wu S, Chen D, Wang X. Moving target detection based on improved three frame difference and visual background extractor. [C]∥Proceedings of IEEE International Congress on Image and Signal Processing, 1-5(2017).
[16] Ma J Y, Jie F R, Hu Y J. Moving target detection method based on improved Gaussian mixture model[J]. Proceedings of SPIE, 10420, 1042014(2017). http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2645989
