Moving Object Detection Algorithm Based on Improved Visual Background Extractor Algorithm

Xu Wang; Yi Liu; Guoyan Li

doi:10.3788/LOP56.011007

[1] Lu G Q. A combined frame difference with a background subtraction algorithm of moving object detection. [C]∥International Workshop on Communication Technology 2013, International Conference on Consumer Electronics, Communications and Networks(2013).

[2] 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).

[3] Xu H W, Chen Q, Qian W X. Target detection algorithm based on improved single Gaussian background model[J]. Laser & Optoelectronics Progress, 53, 040401(2016).

[4] Wang X M, Zhao D Q, Sun G M et al. Target detection algorithm based on improved Gaussian mixture model. [C]∥Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics(2015).

[5] Zhou J Y, Wu X P, Zhang C et al. A moving object detection method based on sliding window Gaussian mixture model[J]. Journal of Electronics & Information Technology, 35, 1650-1656(2013).

[6] Godbehere A B, Matsukawa A, Goldberg K. Visual tracking of human visitors under variable-lighting conditions for a responsive audio art installation. [C]∥2012 American Control Conference (ACC), 4305-4312(2012).

[7] Zhang W Y, Xu H Z, Luo J. Moving objects detection under complex background based on ViBe[J]. Computer Science, 44, 304-307(2017).

[8] Xu J Q, Jiang P P, Zhu H B et al. An improved ViBe algorithm for moving object detection[J]. Journal of Northeastern University (Natural Science), 36, 1227-1231(2015).

[9] 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).

[10] Xie S R, Ye S B, Yang B H et al. Moving targets detection based on an improved YUV_Vibe fusion algorithm[J]. Laser & Optoelectronics Progress, 55, 111002(2018).

[11] van Droogenbroeck M, Paquot O. Background subtraction: experiments and improvements for ViBe. [C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 32-37(2012).

[12] 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

[13] Goyette N, Jodoin P M, Porikli F et al. Changedetection.net: a new change detection benchmark dataset. [C]∥IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 1-8(2012).