Abstract Aiming at the problem of extracting and detecting movingobjections in the actual road environment, analyzes and summarizes the advantages and disadvantages of the current main detection algorithms, and proposes a method for quickly detecting moving targets by extracting the prior knowledge of vehicle entrances and exits, road spacing and so on. The experimental results show that for the case where the camera position is fixed and the background disturbance is not large, the background media construction and background reconstruction can be well realized by adaptive median filtering and multi-frame mean filtering, which reduces the computational complexity and the calculation amount is small.
1 陈瑜. 智能视频监控系统中运动目标检测与跟踪算法的研究［D］. 镇江: 江苏大学, 2010.
2 金星. 运动目标检测和跟踪及其在视频监控系统中的应用［D］. 杭州: 浙江大学, 2010.
3 周士杰, 徐向华. 基于单目视频流的前方车辆检测系统研究［J］. 计算机时代, 2015, (8): 12-14. ZhouS J, XuX H. Study on front-view vehicle detection system based on monocular vision［J］. Computer Era, 2015, (8): 12-14.
4 贾世杰, 刘金环, 于梦晗, 等. 基于车道线的前方车辆检测方法研究［J］. 大连交通大学学报, 2015, 36(5): 117-120. JiaS J, LiuJ H, YuM H, et al. Study on Detecting Method of Preceding Vehicle based on Roadlines［J］. Journal of Dalian Jiaotong University, 2015, 36(5): 117-120.
5 张旭明, 徐滨士, 董世运. 用于图像处理的自适应中值滤波［J］. 计算机辅助设计与图形学学报, 2005, 17(2): 295-299. ZhangX M, XuB S, DongS Y. Adaptive Median Filtering for Image Processing［J］. Journal of Computer-Aided Design & Computer Graphics, 2005, 17(2): 295-299.
6 于海, 赵合计. 视频序列中的运动目标检测［C］//第三届中国智能计算大会论文集, 2013.
7 FrolushkinV M, NovoseltsevL I. Moving-target detection［J］. Izvestiya Vysshikh Uchebnykh Zavedenij Radioelektronika, 1984, 27(7): 11-15.
8 LiangR, YanL, GaoP, et al. Aviation video moving-target detection with inter-frame difference［C］// IEEE. International Congress on Image and Signal Processing. 2010: 1494-1497.
9 ChenC, ZhangX. Moving Vehicle Detection Based on Union of Three-Frame Difference［M］. Advances in Electronic Engineering, Communication and Management, Springer Berlin Heidelberg, 2012: 459-464.
10 YuanG W, GongJ, DengM N, et al. A Moving Objects Detection Algorithm Based on Three-Frame Difference and Sparse Optical Flow［J］. Information Technology Journal, 2014, 13(11): 1863-1867.
11 YuanG W, ChenZ Q, GongJ, et al. A Moving Object Detection Algorithm Based on a Combination of Optical Flow and Three-Frame Difference［J］. Journal of Chinese Computer Systems, 2013, 34(3): 668-671.
12 ZhangL, ShaoZ, WuJ D, et al. A Moving Object Detection Method Based on Improved Three-frame Difference Algorithm and Edge Information［C］// International Conference on Advances in Mechanical Engineering and Industrial Informatics. Atlantis Press, 2015.
13 HanX, GaoY, LuZ, et al. Research on Moving Object Detection Algorithm Based on Improved Three Frame Difference Method and Optical Flow［C］// IEEE. Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control. 2015.
2019, Vol. 40 
