[1] 黄凯奇，陈晓棠，康运锋，等．智能视频监控技术综述［J］．计算机学报，2015，38(6)：1093-1118．

    HUANG K Q, CHEN X T, KANG Y F, et al. Intelligent visual surveillance: a review ［J］. Chinese Journal of Computers, 2015, 38(6): 1093-1118. (in Chinese)

[2] 骆云志，刘治红．视频监控技术发展综述［J］．兵工自动化，2009，28(1)：1-3, 11．

    LUO Y Z, LIU Z H. Review of video monitoring technology development ［J］. Ordnance Industry Automation, 2009, 28(1): 1-3, 11. (in Chinese)

[3] ZOU J H, ZHAO Q C. Video object segmentation using background model based on pixel time series clustering ［C］//Proceedings of the 23rd International Conference on Automation and Computing (ICAC). Huddersfield, UK: IEEE, 2017: 1-6.

[4] LIU C G, WANG S. An adapting to light change pixel layer based background model for moving objects detection in a dynamic scene ［C］//Proceedings of the 11th International Symposium on Distributed Computing and Applications to Business, Engineering & Science (DCABES). Guilin, China: IEEE, 2012: 405-408.

[5] RASHID M E, THOMAS V. A background foreground competitive model for background subtraction in dynamic background ［J］. Procedia Technology, 2016, 25: 536-543.

[6] ALI I, MILLE J, TOUGNE L. Adding a rigid motion model to foreground detection: application to moving object detection in rivers ［J］. Pattern Analysis and Applications, 2014, 17(3): 567-585.

[7] 吴桐，王玲．基于帧差分块的混合高斯背景模型［J］．计算机工程与应用，2014，50(23)：176-180．

    WU T, WANG L. Gaussian mixture background model based on inter-frame differencing blocks ［J］. Computer Engineering and Applications, 2014, 50(23): 176-180. (in Chinese)

[8] 刘翔，周桢．基于分块背景建模的运动目标检测技术［J］．液晶与显示，2011，26(6)：831-835．

    LIU X, ZHOU Z. Moving objectives detecting technology based on block processing of background model establishment ［J］. Chinese Journal of Liquid Crystals and Displays, 2011, 26(6): 831-835. (in Chinese)

[9] 闵卫东，郭晓光，韩清．改进的ViBe算法及其在交通视频处理中的应用［J］．光学 精密工程，2017，25(3)：806-811．

    MIN W D, GUO X G, HAN Q. An improved ViBe algorithm and its application in traffic video processing ［J］. Optics and Precision Engineering, 2017, 25(3): 806-811. (in Chinese)

[10] 万缨，韩毅，卢汉清．运动目标检测算法的探讨［J］．计算机仿真，2006，23(10)：221-226．

    WAN Y, HAN Y, LU H Q. The methods for moving object detection ［J］. Computer Simulation, 2006, 23(10): 221-226. (in Chinese)

[11] ZHU W, TIAN L, DI F, et al. Dynamic targets detection for robotic applications using panoramic camera based on optical flow ［J］. Applied Mechanics and Materials, 2013, 376: 455-460.

[12] 刘洪彬，常发亮．权重系数自适应光流法运动目标检测［J］．光学 精密工程，2016，24(2)：460-468．

    LIU H B, CHANG F L. Moving object detection by optical flow method based on adaptive weight coefficient ［J］. Optics and Precision Engineering, 2016, 24(2): 460-468. (in Chinese)

[13] 康晓晶，吴谨．基于高斯背景建模的目标检测技术［J］．液晶与显示，2010，25(3)：454-459．

    KANG X J, WU J. Object Detecting technology based on gauss background modeling ［J］. Chinese Journal of Liquid Crystals and Displays, 2010, 25(3): 454-459. (in Chinese)

[14] 赵建．基于三帧差法的运动目标检测方法研究［D］．西安：西安电子科技大学，2013．

    ZHAO J. The research of moving target detection method based on three-frame difference ［D］. Xi’an: Xidian University, 2013. (in Chinese)

[15] 何林宣．基于视频序列的双背景建模算法［D］．长春：吉林大学，2014．

    HE L X. Algorithm on video-based dual background modeling ［D］. Changchun: Jilin University, 2014. (in Chinese)