[1] Gao Fei, Jiang Jianguo, An Hongxin, et al.. A fast detection algorithm for moving object[J]. Journal of Hefei University of Technology (Natural Science), 2012, 35(2): 180-183.
[2] Denman S, Chandran V, Sridharan S. An adaptive optical flow technique for person tracking systems[J]. Pattern recognition letters, 2007, 28(10): 1232-1239.
[3] Pal A, Schaefer G, Celebi M E. Robust codebook-based video background subtraction[C]. Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on IEEE, 2010: 1146-1149.
[5] Hua Yuanlei, Liu Wangjun. Moving object detection algorithm of improved Gaussian mixture model[J]. Journal of Computer Applications, 2014, 34(2): 580-584.
[6] Koller D, Weber J, Huang T, et al.. Towards robust automatic traffic scene analysis in real-time[C]. Pattern Recognition, Conference A: Computer Vision & Image Processing, Proceedings of the 12 th IAPR International Conference on IEEE, 1994, 1: 126-131.
[7] Meng F, Qu Z, Zeng Q, et al.. Traffic object tracking based on increased-step motion history image[C]. Automation and Logistics, 2007 IEEE International Conference on IEEE, 2007: 345-349.
[8] Liu Yan, Gao Yun. Abnormal behavior recognition based on corner motion history[J]. Computer Engineering & Sciene, 2014, 36(6): 1127-1131.
[9] Intachak T, Kaewapichai W. Real-time illumination feedback system for adaptive background subtraction working in traffic video monitoring[C]. Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on IEEE, 2011: 1-5.