High-Speed Moving Target Detection Based on Background Modeling
摘要
The improved adaptive threshold decision method based on the fusion of OTSU and equilibrium measurement to overcome the influence of flickering steel strip background is presented for high-speed moving target detection. The improved ViBe algorithm that integrates three frame difference methods is proposed to address the impact of shooting jitter. The final experimental results show that compared with other algorithms, the proposed algorithm has good effects on the precision and recall.