[2] Senst T, Evangelio R H, Sikora T. Detecting people carrying objects based on an optical flow motion model[C]∥IEEE Workshop on Applications of Computer Vision, 2011: 301-306.
[3] Weng M Y, Huang G C, Da X Y. A new interframe difference algorithm for moving target detection[C]∥2010 3rd International Congress on Image and Signal Processing, 2010, 1: 285-289.
[4] Mohamed S S, Tahir N M, Adnan R. Background modeling and background subtraction performance for object detection[C]∥2010 6th International Colloquium on Signal Processing and Its Applications, 2010: 1-6.
[5] Liu W J, Zhang Y J. Edge-color-histogram and Kalman filter-based real-time object tracking[J]. Journal of Tsinghua University (Science and Technology ), 2008, 48(7): 1104-1107.
[6] Huang Z, Yang L H, Zhao Z Y, et al. Research on optoelectronic scanning dynamic coordinate measurement algorithm based on extended Kalman filter[J]. Laser & Optoelectronics Progress, 2016, 53(5): 051201.
[8] Yu J H, Shi H S, Song Y J, et al. Study on Kalman filtering in high-precision absolute distance measurement based on dual femtosecond lasers[J]. Chinese Journal of Lasers, 2017, 44(6): 0610001.
[9] Tang Y J, Dong Y J, Ren H L, et al. Phase noise compensation algorithm based on Kalman filtering in time and frequency domains for CO-OFDM system[J]. Acta Optica Sinica, 2017, 37(9): 0906002.
[10] Xia L, He B. Background update algorithm based on Kalman filtering[J]. Computer Knowledge and Technology, 2014, 10(6): 1242-1243.
[12] Chen Y S. Research on moving object detection and tracking with illumination robustness based on background subtraction[D]. Chengdu: Southwest Jiaotong University, 2011.
[13] Li Y, Sun Z X, Yuan B, et al. An improved method for motion detection by fame difference and background subtraction[J]. Journal of Image and Graphics, 2009, 14(6): 1162-1168.
[14] Sheng Z. Probability theory and mathematical statistics and their applications[M]. Beijing: Higher Education Press, 2010: 103.
[15] Maddalena L, Petrosino A. A self organizing approach to background subtraction for visual surveillance applications[J]. IEEE Transactions on Image Processing, 2008, 17(7): 1168-1177.