Improved Moving Target Detection Based on Multi-Model Mean Model

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Wang, Weiwei^1 ; Gao, Deyong^1 ; Wang, Yangping^2^3 ; Gao, Decheng^4

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, China^1

Gansu Prov. Eng. Research Center for Artificial Intelligence and Graphics and Image Processing, Lanzhou, China^2

Gansu Provincial Key Lab of System Dynamics and Reliability of Rail Transport Equipment, Lanzhou, China^3

Gansu Institute of Metrology, Lanzhou, China^4

关键词: Background difference methods;    Background model;    Detection accuracy;    Detection methods;    Foreground images;    Frame difference methods;    Mean-value modeling;    Moving target detection;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052134/pdf
DOI  :  10.1088/1755-1315/252/5/052134

来源: IOP

【 摘 要 】

Aiming at the problem of low detection accuracy of multi-mode mean model in complex scenarios, an improved detection method of moving target based on multi-mode mean model is proposed.Firstly, the background model is constructed using the multi-mode mean value model. According to different scene information, different thresholds are set and adjusted adaptively. The foreground image obtained by background difference method is detected by frame difference method, and the experiment is compared and analyzed. The detection rate and the error rate are reduced, and the detection accuracy is improved. Finally, the simulation results of three-segment video verify the effectiveness of the proposed method.