References
- Ma Junqiang. Research on the detection and tracking technology of sports vehicles based on video [D]. Beijing University of Technology, 2009.
- Yu jie, Li Xiaojing. Moving object detection based on mean background and three framedifference[J]. Journal of Shaanxi University of Science and Technology, 2018(1).
- Zhou Mingjiang, Wang Jiwu. Research on the Detection and Tracking Method of Moving Vehicles in Video Sequences[J]. Science and Technology Economic Market, 2017(4):76-78.
- Fan Wenjie, Zhang Li. An Improved Method of Moving Vehicle Detection Based on Background Difference Algorithm [J]. Journal of Chengdu University of Information Technology, 2010, 25(4):355-360.
- Huang Lei, Yu Manman. Research on Moving Object Detection Based on Background Difference [J]. Software Herald, 2009(6):187-188.
- Lu Xixin. Detection of moving objects based on Gaussian mixture model and three-frame difference method[D]. Xi’an University of Technology, 2011.
- Federal Highway Administration, Department of Transportation, Highway Performance Monitoring System Reassessment, Final Report, FHWA-PL-99-001, 1999: 32-34
- Serra Jean. Introduction to mathematical morphology. Computer Vision, Graphicsand Image Processing, 2005, 35(7):283-305
- Yananaka K. Effects of misdate Smith Predictor on stability in System with Time-delay. Automatically, 2011, 23(7):787-791.
- Cheung S, Kamath C. Robust background subtraction with foreground validation for urban traffic video[J]. EURASIP Journal on Applied Signal Processing, 2005,14: 2330-2340.